litellm/tests/test_litellm/fixtures/together_ai_sync/deprecations.md

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Documentation Index

Fetch the complete documentation index at: https://docs.together.ai/llms.txt Use this file to discover all available pages before exploring further.

Deprecations

Together AI's model lifecycle policy, including upgrades, redirects, and deprecation schedules.

Together AI regularly updates the platform with new open-source models. This page describes the model lifecycle policy and lists active redirects and scheduled deprecations.

Model lifecycle policy

Together AI follows a structured approach to introducing new models, upgrading existing models, and deprecating older versions, so you can rely on predictable behavior.

Model upgrades (redirects)

An upgrade is a model release that is materially the same model lineage with targeted improvements and no fundamental changes to how developers use or reason about it.

A model qualifies as an upgrade when one or more of the following are true (and none of the "new model" criteria apply):

  • Same modality and task profile (e.g., instruct → instruct, reasoning → reasoning).
  • Same architecture family (e.g., DeepSeek-V3 → DeepSeek-V3-0324).
  • Post-training or fine-tuning improvements, bug fixes, safety tuning, or small data refresh.
  • Behavior is strongly compatible (prompting patterns and evals are similar).
  • Pricing change is none or small (≤10% increase).

Outcome: The current endpoint redirects to the upgraded version after a 3-day notice. The old version remains available via dedicated endpoints.

New models (no redirect)

A new model is a release with materially different capabilities, costs, or operating characteristics, so a silent redirect would be misleading.

Any of the following triggers classification as a new model:

  • Modality shift (e.g., reasoning-only ↔ instruct/hybrid, text → multimodal).
  • Architecture shift (e.g., Qwen3 → Qwen3-Next, Llama 3 → Llama 4).
  • Large behavior shift (prompting patterns, output style, or verbosity materially different).
  • Experimental flag by provider (e.g., DeepSeek-V3-Exp).
  • Large price change (>10% increase or pricing structure change).
  • Benchmark deltas that meaningfully change task positioning.
  • Safety policy or system prompt changes that noticeably affect outputs.

Outcome: No automatic redirect. Together AI announces the new model and deprecates the old one on a 2-week timeline (both are available during this window). You must explicitly switch model IDs.

Active model redirects

The following models are redirected to newer versions. Requests to the original model ID are automatically routed to the upgraded version:

Original model Redirects to Notes
mistralai/Mistral-7B-Instruct-v0.3 mistralai/Ministral-3-14B-Instruct-2512 Same lineage, upgraded version
Kimi-K2 Kimi-K2-0905 Same architecture, improved post-training
DeepSeek-V3 DeepSeek-V3.1 Same architecture, targeted improvements
DeepSeek-V3-0324 DeepSeek-V3.1 Same architecture, targeted improvements
DeepSeek-R1 DeepSeek-R1-0528 Same architecture, targeted improvements
If you need to use the original model version, you can always deploy it as a [dedicated endpoint](/docs/dedicated-endpoints).

Deprecation policy

Model type Deprecation notice Notes
Preview model <24 hours of notice, after 30 days Clearly marked in docs and playground with "Preview" tag
Serverless endpoint 2 or 3 weeks*
On-demand dedicated endpoint 2 or 3 weeks*

*Depends on usage and whether a newer version of the model is available.

  • If you use a model scheduled for deprecation, you receive an email notification.
  • All changes appear on this page.
  • Each deprecated model has a specified removal date.
  • After the removal date, the model is no longer available via its serverless endpoint, but migration options are described below.

Migration options

When a model is deprecated on the serverless platform, you have three options:

  1. On-demand dedicated endpoint (if supported):
    • Reserved solely for you. You choose the underlying hardware.
    • Charged on a price-per-minute basis.
    • Endpoints can be dynamically spun up and down.
  2. Monthly reserved dedicated endpoint:
    • Reserved solely for you.
    • Charged on a month-by-month basis.
    • Can be requested via this form.
  3. Migrate to a newer serverless model:
    • Switch to an updated model on the serverless platform.

Migration steps

  1. Review the deprecation table below to find your current model.
  2. Check if on-demand dedicated endpoints are supported for your model.
  3. Decide on your preferred migration option.
  4. If you choose a new serverless model, test your application thoroughly before migrating.
  5. Update your API calls to use the new model or dedicated endpoint.

Deprecation history

Inference

The table below lists all models removed from serverless inference, most recent first.

Removal date Model Supported by on-demand dedicated endpoints
2026-08-21 deepcogito/cogito-v2-1-671b No
2026-08-04 google/gemma-3n-E4B-it No
2026-07-10 Qwen/Qwen3-235B-A22B-Instruct-2507-tput Yes
2026-07-10 meta-llama/Meta-Llama-3-8B-Instruct-Lite No
2026-07-10 zai-org/GLM-5.1 Yes
2026-06-29 Qwen/Qwen3.5-397B-A17B Yes
2026-06-22 zai-org/GLM-5 No
2026-06-11 mistralai/Voxtral-Mini-3B-2507 No
2026-06-04 Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8 Yes
2026-05-27 black-forest-labs/FLUX.1-krea-dev No
2026-05-21 moonshotai/Kimi-K2.5 No
2026-05-14 deepseek-ai/DeepSeek-R1 No
2026-05-14 deepseek-ai/DeepSeek-V3.1 Yes
2026-05-14 Qwen/Qwen3-Coder-Next-FP8 Yes
2026-04-16 Qwen/Qwen3-VL-8B-Instruct Yes
2026-04-16 Qwen/Qwen3-235B-A22B-Thinking-2507 Yes
2026-04-16 mistralai/Mixtral-8x7B-Instruct-v0.1 Yes
2026-04-03 ServiceNow-AI/Apriel-1.5-15b-Thinker No
2026-04-03 ServiceNow-AI/Apriel-1.6-15b-Thinker No
2026-04-02 zai-org/GLM-4.5-Air-FP8 No
2026-04-02 zai-org/GLM-4.7 No
2026-04-02 mistralai/Mistral-Small-24B-Instruct-2501 No
2026-04-02 Qwen/Qwen3-Next-80B-A3B-Instruct Yes
2026-03-31 meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 Yes
2026-03-06 mixedbread-ai/Mxbai-Rerank-Large-V2 No
2026-03-06 meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo Yes
2026-03-06 Qwen/Qwen3-235B-A22B-Thinking-2507 Yes
2026-03-06 moonshotai/Kimi-K2-Thinking No
2026-03-06 moonshotai/Kimi-K2-Instruct-0905 No
2026-03-06 meta-llama/Llama-3.2-3B-Instruct-Turbo No
2026-02-25 black-forest-labs/FLUX.1-dev No
2026-02-25 black-forest-labs/FLUX.1-dev-lora No
2026-02-25 black-forest-labs/FLUX.1-Kontext-dev No
2026-02-25 Qwen/Qwen3-VL-32B-Instruct No
2026-02-25 meta-llama/Llama-3.2-3B-Instruct-Turbo-Classifier No
2026-02-25 mistralai/Ministral-3-14B-Instruct No
2026-02-25 Qwen/Qwen3-Next-80B-A3B-Thinking No
2026-02-25 Alibaba-NLP/gte-modernbert-base No
2026-02-25 BAAI/bge-base-en-v1.5-vllm No
2026-02-25 meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo No
2026-02-25 meta-llama/Llama-Guard-3-11B-Vision-Turbo No
2026-02-25 meta-llama/LlamaGuard-2-8b No
2026-02-25 marin-community/Marin-8B-Instruct No
2026-02-25 nvidia/Nvidia-Nemotron-Nano-9B-v2 No
2026-02-06 togethercomputer/m2-bert-80M-32k-retrieval No
2026-02-06 Salesforce/Llama-Rank-V1 No
2026-02-06 togethercomputer/Refuel-Llm-V2 No
2026-02-06 togethercomputer/Refuel-Llm-V2-Small No
2026-02-06 Qwen/Qwen3-235B-A22B-fp8-tput No
2026-02-06 qwen-qwen2-5-14b-instruct-lora No
2026-02-06 meta-llama/Llama-4-Scout-17B-16E-Instruct Yes
2026-02-06 Qwen/Qwen2.5-72B-Instruct-Turbo No
2026-02-06 meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo No
2026-02-06 BAAI/bge-large-en-v1.5 No
2026-02-03 deepseek-ai/DeepSeek-R1-0528-tput No
2026-01-05 Qwen/Qwen2.5-VL-72B-Instruct No
2025-12-23 deepseek-ai/DeepSeek-R1-Distill-Llama-70B No
2025-12-23 meta-llama/Meta-Llama-3-70B-Instruct-Turbo No
2025-12-23 black-forest-labs/FLUX.1-schnell-free No
2025-12-23 meta-llama/Meta-Llama-Guard-3-8B No
2025-11-19 deepcogito/cogito-v2-preview-deepseek-671b No
2025-07-25 arcee-ai/caller No
2025-07-25 arcee-ai/arcee-blitz No
2025-07-25 arcee-ai/virtuoso-medium-v2 No
2025-11-17 arcee-ai/virtuoso-large No
2025-11-17 arcee-ai/maestro-reasoning No
2025-11-17 arcee_ai/arcee-spotlight No
2025-11-17 arcee-ai/coder-large No
2025-11-13 deepseek-ai/DeepSeek-R1-Distill-Qwen-14B No
2025-11-13 mistralai/Mistral-7B-Instruct-v0.1 No
2025-11-13 Qwen/Qwen2.5-Coder-32B-Instruct No
2025-11-13 Qwen/QwQ-32B No
2025-11-13 deepseek-ai/DeepSeek-R1-Distill-Llama-70B-free No
2025-11-13 meta-llama/Llama-3.3-70B-Instruct-Turbo-Free No
2025-08-28 Qwen/Qwen2-VL-72B-Instruct No
2025-08-28 nvidia/Llama-3.1-Nemotron-70B-Instruct-HF No
2025-08-28 perplexity-ai/r1-1776 No
2025-08-28 meta-llama/Meta-Llama-3-8B-Instruct No
2025-08-28 google/gemma-2-27b-it No
2025-08-28 Qwen/Qwen2-72B-Instruct No
2025-08-28 meta-llama/Llama-Vision-Free No
2025-08-28 Qwen/Qwen2.5-14B No
2025-08-28 meta-llama-llama-3-3-70b-instruct-lora No
2025-08-28 meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo No
2025-08-28 NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO No
2025-08-28 deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B No
2025-08-28 black-forest-labs/FLUX.1-depth No
2025-08-28 black-forest-labs/FLUX.1-redux No
2025-08-28 meta-llama/Llama-3-8b-chat-hf No
2025-08-28 black-forest-labs/FLUX.1-canny No
2025-08-28 meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo No
2025-06-13 gryphe-mythomax-l2-13b No
2025-06-13 mistralai-mixtral-8x22b-instruct-v0-1 No
2025-06-13 mistralai-mixtral-8x7b-v0-1 No
2025-06-13 togethercomputer-m2-bert-80m-2k-retrieval No
2025-06-13 togethercomputer-m2-bert-80m-8k-retrieval No
2025-06-13 whereisai-uae-large-v1 No
2025-06-13 google-gemma-2-9b-it No
2025-06-13 google-gemma-2b-it No
2025-06-13 gryphe-mythomax-l2-13b-lite No
2025-05-16 meta-llama-llama-3-2-3b-instruct-turbo-lora No
2025-05-16 meta-llama-meta-llama-3-8b-instruct-turbo No
2025-04-24 meta-llama/Llama-2-13b-chat-hf No
2025-04-24 meta-llama-meta-llama-3-70b-instruct-turbo No
2025-04-24 meta-llama-meta-llama-3-1-8b-instruct-turbo-lora No
2025-04-24 meta-llama-meta-llama-3-1-70b-instruct-turbo-lora No
2025-04-24 meta-llama-llama-3-2-1b-instruct-lora No
2025-04-24 microsoft-wizardlm-2-8x22b No
2025-04-24 upstage-solar-10-7b-instruct-v1 No
2025-04-14 stabilityai/stable-diffusion-xl-base-1.0 No
2025-04-04 meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo-lora No
2025-03-27 mistralai/Mistral-7B-v0.1 No
2025-03-25 Qwen/QwQ-32B-Preview No
2025-03-13 databricks-dbrx-instruct No
2025-03-11 meta-llama/Meta-Llama-3-70B-Instruct-Lite No
2025-03-08 Meta-Llama/Llama-Guard-7b No
2025-02-06 sentence-transformers/msmarco-bert-base-dot-v5 No
2025-02-06 bert-base-uncased No
2024-10-29 Qwen/Qwen1.5-72B-Chat No
2024-10-29 Qwen/Qwen1.5-110B-Chat No
2024-10-07 NousResearch/Nous-Hermes-2-Yi-34B No
2024-10-07 NousResearch/Hermes-3-Llama-3.1-405B-Turbo No
2024-08-22 NousResearch/Nous-Hermes-2-Mistral-7B-DPO No
2024-08-22 SG161222/Realistic_Vision_V3.0_VAE No
2024-08-22 meta-llama/Llama-2-70b-chat-hf No
2024-08-22 mistralai/Mixtral-8x22B No
2024-08-22 Phind/Phind-CodeLlama-34B-v2 No
2024-08-22 meta-llama/Meta-Llama-3-70B No
2024-08-22 teknium/OpenHermes-2p5-Mistral-7B No
2024-08-22 openchat/openchat-3.5-1210 No
2024-08-22 WizardLM/WizardCoder-Python-34B-V1.0 No
2024-08-22 NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT No
2024-08-22 NousResearch/Nous-Hermes-Llama2-13b No
2024-08-22 zero-one-ai/Yi-34B-Chat No
2024-08-22 codellama/CodeLlama-34b-Instruct-hf No
2024-08-22 codellama/CodeLlama-34b-Python-hf No
2024-08-22 teknium/OpenHermes-2-Mistral-7B No
2024-08-22 Qwen/Qwen1.5-14B-Chat No
2024-08-22 stabilityai/stable-diffusion-2-1 No
2024-08-22 meta-llama/Llama-3-8b-hf No
2024-08-22 prompthero/openjourney No
2024-08-22 runwayml/stable-diffusion-v1-5 No
2024-08-22 wavymulder/Analog-Diffusion No
2024-08-22 Snowflake/snowflake-arctic-instruct No
2024-08-22 deepseek-ai/deepseek-coder-33b-instruct No
2024-08-22 Qwen/Qwen1.5-7B-Chat No
2024-08-22 Qwen/Qwen1.5-32B-Chat No
2024-08-22 cognitivecomputations/dolphin-2.5-mixtral-8x7b No
2024-08-22 garage-bAInd/Platypus2-70B-instruct No
2024-08-22 google/gemma-7b-it No
2024-08-22 meta-llama/Llama-2-7b-chat-hf No
2024-08-22 Qwen/Qwen1.5-32B No
2024-08-22 Open-Orca/Mistral-7B-OpenOrca No
2024-08-22 codellama/CodeLlama-13b-Instruct-hf No
2024-08-22 NousResearch/Nous-Capybara-7B-V1p9 No
2024-08-22 lmsys/vicuna-13b-v1.5 No
2024-08-22 Undi95/ReMM-SLERP-L2-13B No
2024-08-22 Undi95/Toppy-M-7B No
2024-08-22 meta-llama/Llama-2-13b-hf No
2024-08-22 codellama/CodeLlama-70b-Instruct-hf No
2024-08-22 snorkelai/Snorkel-Mistral-PairRM-DPO No
2024-08-22 togethercomputer/LLaMA-2-7B-32K-Instruct No
2024-08-22 Austism/chronos-hermes-13b No
2024-08-22 Qwen/Qwen1.5-72B No
2024-08-22 zero-one-ai/Yi-34B No
2024-08-22 codellama/CodeLlama-7b-Instruct-hf No
2024-08-22 togethercomputer/evo-1-131k-base No
2024-08-22 codellama/CodeLlama-70b-hf No
2024-08-22 WizardLM/WizardLM-13B-V1.2 No
2024-08-22 meta-llama/Llama-2-7b-hf No
2024-08-22 google/gemma-7b No
2024-08-22 Qwen/Qwen1.5-1.8B-Chat No
2024-08-22 Qwen/Qwen1.5-4B-Chat No
2024-08-22 lmsys/vicuna-7b-v1.5 No
2024-08-22 zero-one-ai/Yi-6B No
2024-08-22 Nexusflow/NexusRaven-V2-13B No
2024-08-22 google/gemma-2b No
2024-08-22 Qwen/Qwen1.5-7B No
2024-08-22 NousResearch/Nous-Hermes-llama-2-7b No
2024-08-22 togethercomputer/alpaca-7b No
2024-08-22 Qwen/Qwen1.5-14B No
2024-08-22 codellama/CodeLlama-70b-Python-hf No
2024-08-22 Qwen/Qwen1.5-4B No
2024-08-22 togethercomputer/StripedHyena-Hessian-7B No
2024-08-22 allenai/OLMo-7B-Instruct No
2024-08-22 togethercomputer/RedPajama-INCITE-7B-Instruct No
2024-08-22 togethercomputer/LLaMA-2-7B-32K No
2024-08-22 togethercomputer/RedPajama-INCITE-7B-Base No
2024-08-22 Qwen/Qwen1.5-0.5B-Chat No
2024-08-22 microsoft/phi-2 No
2024-08-22 Qwen/Qwen1.5-0.5B No
2024-08-22 togethercomputer/RedPajama-INCITE-7B-Chat No
2024-08-22 togethercomputer/RedPajama-INCITE-Chat-3B-v1 No
2024-08-22 togethercomputer/GPT-JT-Moderation-6B No
2024-08-22 Qwen/Qwen1.5-1.8B No
2024-08-22 togethercomputer/RedPajama-INCITE-Instruct-3B-v1 No
2024-08-22 togethercomputer/RedPajama-INCITE-Base-3B-v1 No
2024-08-22 WhereIsAI/UAE-Large-V1 No
2024-08-22 allenai/OLMo-7B No
2024-08-22 togethercomputer/evo-1-8k-base No
2024-08-22 WizardLM/WizardCoder-15B-V1.0 No
2024-08-22 codellama/CodeLlama-13b-Python-hf No
2024-08-22 allenai-olmo-7b-twin-2t No
2024-08-22 sentence-transformers/msmarco-bert-base-dot-v5 No
2024-08-22 codellama/CodeLlama-7b-Python-hf No
2024-08-22 hazyresearch/M2-BERT-2k-Retrieval-Encoder-V1 No
2024-08-22 bert-base-uncased No
2024-08-22 mistralai/Mistral-7B-Instruct-v0.1-json No
2024-08-22 mistralai/Mistral-7B-Instruct-v0.1-tools No
2024-08-22 togethercomputer-codellama-34b-instruct-json No
2024-08-22 togethercomputer-codellama-34b-instruct-tools No
Notes on model support:
  • The support column reflects the current supported models catalog for dedicated model inference and is updated automatically as the catalog changes.
  • Models marked "Yes" can be deployed as on-demand dedicated endpoints, either under the listed ID or as the underlying base model of a serving variant (for example, a deprecated -FP8 or -Turbo ID).
  • Models marked "No" are not available as on-demand endpoints and require migration to a different model or a monthly reserved dedicated endpoint.

Fine-tuning

The table below lists all models removed from the fine-tuning service, most recent first. These models can no longer be used as a base model for a fine-tuning job. Where a close equivalent exists, the suggested replacement is listed. A blank cell means there is no direct equivalent. See Supported models for the full list of models available today.

Removal date Model Suggested replacement
2026-07-29 nvidia/NVIDIA-Nemotron-Nano-9B-v2 Qwen/Qwen3.5-9B
2026-07-29 Qwen/Qwen3-Next-80B-A3B-Instruct Qwen/Qwen3.5-122B-A10B
2026-07-29 Qwen/Qwen3-Next-80B-A3B-Thinking Qwen/Qwen3.5-122B-A10B
2026-07-29 Qwen/Qwen3-0.6B Qwen/Qwen3.5-0.8B
2026-07-29 Qwen/Qwen3-0.6B-Base Qwen/Qwen3.5-0.8B
2026-07-29 Qwen/Qwen3-1.7B Qwen/Qwen3.5-2B
2026-07-29 Qwen/Qwen3-1.7B-Base Qwen/Qwen3.5-2B
2026-07-29 Qwen/Qwen3-4B Qwen/Qwen3.5-4B
2026-07-29 Qwen/Qwen3-4B-Base Qwen/Qwen3.5-4B
2026-07-29 Qwen/Qwen3-8B Qwen/Qwen3.5-9B
2026-07-29 Qwen/Qwen3-8B-Base Qwen/Qwen3.5-9B
2026-07-29 Qwen/Qwen3-14B Qwen/Qwen3.5-27B
2026-07-29 Qwen/Qwen3-14B-Base Qwen/Qwen3.5-27B
2026-07-29 Qwen/Qwen3-32B Qwen/Qwen3.5-27B
2026-07-29 Qwen/Qwen3-30B-A3B-Base Qwen/Qwen3.6-35B-A3B
2026-07-29 Qwen/Qwen3-30B-A3B Qwen/Qwen3.6-35B-A3B
2026-07-29 Qwen/Qwen3-30B-A3B-Instruct-2507 Qwen/Qwen3.6-35B-A3B
2026-07-29 Qwen/Qwen3-235B-A22B Qwen/Qwen3.5-397B-A17B
2026-07-29 Qwen/Qwen3-235B-A22B-Instruct-2507 Qwen/Qwen3.5-397B-A17B
2026-07-29 Qwen/Qwen3-Coder-30B-A3B-Instruct Qwen/Qwen3.6-35B-A3B
2026-07-29 Qwen/Qwen3-Coder-480B-A35B-Instruct
2026-07-29 Qwen/Qwen3-VL-8B-Instruct Qwen/Qwen3.5-9B
2026-07-29 Qwen/Qwen3-VL-32B-Instruct
2026-07-29 Qwen/Qwen3-VL-30B-A3B-Instruct Qwen/Qwen3.5-4B
2026-07-29 Qwen/Qwen3-VL-235B-A22B-Instruct
2026-07-29 Qwen/Qwen2.5-72B-Instruct meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 Qwen/Qwen2.5-72B meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 Qwen/Qwen2.5-32B-Instruct Qwen/Qwen3.5-27B
2026-07-29 Qwen/Qwen2.5-32B Qwen/Qwen3.5-27B
2026-07-29 Qwen/Qwen2.5-14B-Instruct Qwen/Qwen3.5-27B
2026-07-29 Qwen/Qwen2.5-14B Qwen/Qwen3.5-27B
2026-07-29 Qwen/Qwen2.5-7B-Instruct Qwen/Qwen3.5-9B
2026-07-29 Qwen/Qwen2.5-7B Qwen/Qwen3.5-9B
2026-07-29 Qwen/Qwen2.5-3B-Instruct Qwen/Qwen3.5-4B
2026-07-29 Qwen/Qwen2.5-3B Qwen/Qwen3.5-4B
2026-07-29 Qwen/Qwen2.5-1.5B-Instruct Qwen/Qwen3.5-2B
2026-07-29 Qwen/Qwen2.5-1.5B Qwen/Qwen3.5-2B
2026-07-29 Qwen/Qwen2-72B-Instruct meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 Qwen/Qwen2-72B meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 Qwen/Qwen2-7B-Instruct Qwen/Qwen3.5-9B
2026-07-29 Qwen/Qwen2-7B Qwen/Qwen3.5-9B
2026-07-29 Qwen/Qwen2-1.5B-Instruct Qwen/Qwen3.5-2B
2026-07-29 Qwen/Qwen2-1.5B Qwen/Qwen3.5-2B
2026-07-29 moonshotai/Kimi-K2.5 moonshotai/Kimi-K2.6
2026-07-29 moonshotai/Kimi-K2-Thinking moonshotai/Kimi-K2.6
2026-07-29 moonshotai/Kimi-K2-Instruct-0905 moonshotai/Kimi-K2.6
2026-07-29 moonshotai/Kimi-K2-Instruct moonshotai/Kimi-K2.6
2026-07-29 moonshotai/Kimi-K2-Base moonshotai/Kimi-K2.6
2026-07-29 zai-org/GLM-5 zai-org/GLM-5.1
2026-07-29 zai-org/GLM-4.7 zai-org/GLM-5.1
2026-07-29 zai-org/GLM-4.6 zai-org/GLM-5.1
2026-07-29 deepseek-ai/DeepSeek-R1-0528 deepseek-ai/DeepSeek-V3.1
2026-07-29 deepseek-ai/DeepSeek-R1 deepseek-ai/DeepSeek-V3.1
2026-07-29 deepseek-ai/DeepSeek-V3-0324 deepseek-ai/DeepSeek-V3.1
2026-07-29 deepseek-ai/DeepSeek-V3 deepseek-ai/DeepSeek-V3.1
2026-07-29 deepseek-ai/DeepSeek-V3.1-Base deepseek-ai/DeepSeek-V3.1
2026-07-29 deepseek-ai/DeepSeek-V3-Base deepseek-ai/DeepSeek-V3.1
2026-07-29 deepseek-ai/DeepSeek-R1-Distill-Llama-70B meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 deepseek-ai/DeepSeek-R1-Distill-Llama-70B-32k meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 deepseek-ai/DeepSeek-R1-Distill-Llama-70B-131k meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 deepseek-ai/DeepSeek-R1-Distill-Qwen-14B Qwen/Qwen3.5-27B
2026-07-29 deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B Qwen/Qwen3.5-2B
2026-07-29 meta-llama/Llama-4-Scout-17B-16E meta-llama/Llama-4-Scout-17B-16E-Instruct
2026-07-29 meta-llama/Llama-4-Maverick-17B-128E meta-llama/Llama-4-Maverick-17B-128E-Instruct
2026-07-29 meta-llama/Llama-3.3-70B-32k-Instruct-Reference meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 meta-llama/Llama-3.3-70B-131k-Instruct-Reference meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 meta-llama/Llama-3.2-3B-Instruct meta-llama/Meta-Llama-3.1-8B-Instruct-Reference
2026-07-29 meta-llama/Llama-3.2-3B meta-llama/Meta-Llama-3.1-8B-Instruct-Reference
2026-07-29 meta-llama/Llama-3.2-1B-Instruct meta-llama/Meta-Llama-3.1-8B-Instruct-Reference
2026-07-29 meta-llama/Llama-3.2-1B meta-llama/Meta-Llama-3.1-8B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-8B-131k-Instruct-Reference meta-llama/Meta-Llama-3.1-8B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-8B-Reference meta-llama/Meta-Llama-3.1-8B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-8B-131k-Reference meta-llama/Meta-Llama-3.1-8B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-70B-Instruct-Reference meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-70B-32k-Instruct-Reference meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-70B-131k-Instruct-Reference meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-70B-Reference meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-70B-32k-Reference meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-70B-131k-Reference meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-405B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-405B-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-405B-10k-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-405B-10k-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-405B-8k-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3.1-405B-8k-Reference
2026-07-29 meta-llama/Meta-Llama-3-8B-Instruct meta-llama/Meta-Llama-3.1-8B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3-8B meta-llama/Meta-Llama-3.1-8B-Instruct-Reference
2026-07-29 meta-llama/Meta-Llama-3-70B-Instruct meta-llama/Llama-3.3-70B-Instruct-Reference
2026-07-29 google/gemma-3-270m Qwen/Qwen3.5-0.8B
2026-07-29 google/gemma-3-270m-it Qwen/Qwen3.5-0.8B
2026-07-29 google/gemma-3-1b-it google/gemma-4-26B-A4B-it
2026-07-29 google/gemma-3-1b-pt google/gemma-4-26B-A4B-it
2026-07-29 google/gemma-3-4b-it google/gemma-4-26B-A4B-it
2026-07-29 google/gemma-3-4b-it-VLM google/gemma-4-26B-A4B-it
2026-07-29 google/gemma-3-4b-pt google/gemma-4-26B-A4B-it
2026-07-29 google/gemma-3-12b-it google/gemma-4-26B-A4B-it
2026-07-29 google/gemma-3-12b-it-VLM google/gemma-4-31B-it-VLM
2026-07-29 google/gemma-3-12b-pt google/gemma-4-26B-A4B-it
2026-07-29 google/gemma-3-27b-it google/gemma-4-31B-it
2026-07-29 google/gemma-3-27b-it-VLM google/gemma-4-31B-it-VLM
2026-07-29 google/gemma-3-27b-pt google/gemma-4-31B-it
2026-07-29 mistralai/Mixtral-8x7B-v0.1 mistralai/Mixtral-8x7B-Instruct-v0.1
2026-07-29 mistralai/Mistral-7B-Instruct-v0.2 mistralai/Mixtral-8x7B-Instruct-v0.1
2026-07-29 mistralai/Mistral-7B-v0.1 mistralai/Mixtral-8x7B-Instruct-v0.1
2026-07-29 togethercomputer/llama-2-7b-chat meta-llama/Meta-Llama-3.1-8B-Instruct-Reference
  • Regularly check this page for updates on model deprecations.
  • Plan your migration well in advance of the removal date to ensure a smooth transition.
  • If you have any questions or need assistance with migration, contact the Together AI support team.

For the most up-to-date information on model availability, support, and recommended alternatives, check the API documentation or contact the Together AI support team.