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DeepSeek-V3.1

ActiveDeepSeekdeepseek/deepseek-v3-16 platforms

Shutting down. DeepSeek-V3.1 shuts down on Google Vertex AI on Oct 21, 2026. DeepSeek names DeepSeek-V4-Flash as the replacement.

7 days
Next shutdown
7 daysOct 21, 2026 · Google Vertex AI
Arena Text
1,417#63 of 128 · Arena
Released
Aug 21, 2025DeepSeek

Dates on every platform

6 listings · a floor is the earliest possible date
DeepSeek-V3.1 on each platform: model ID, status, dates, replacement and source
PlatformModel ID and statusDeprecatedShuts downReplacement
Azure AI FoundryMicrosoft: Model retirement schedule - Microsoft Foundry (opens in a new tab) · checked Oct 14, 2026DeepSeek-V3.1:1Shut down–DeepSeek-V4-Flash
Azure AI FoundryMicrosoft: Model retirement schedule - Microsoft Foundry (opens in a new tab) · checked Oct 14, 2026FW-DeepSeek-V3.1:1Active––
Amazon BedrockAmazon Web Services: Amazon Bedrock ListFoundationModels, us-west-2 (opens in a new tab) · checked Oct 14, 2026ap-northeast-1, ap-south-1, ap-southeast-2, ap-southeast-3, eu-north-1, eu-west-2, us-east-2, us-west-2deepseek.v3-v1:0Deprecated since Sep 30, 2026 · also deepseek.v3.1––
Google Vertex AIGoogle Cloud: Open model deprecations (opens in a new tab) · checked Oct 14, 2026deepseek-v3.1-maasDeprecated–
Together AITogether AI: Changelog (opens in a new tab) · checked Oct 14, 2026deepseek-ai/DeepSeek-V3.1Shut down––
Fireworks AIFireworks AI: DeepSeek V3.1 model page (opens in a new tab) · checked Oct 14, 2026accounts/fireworks/models/deepseek-v3p1Shut down–Kimi K2.6

Requests to retired deployments return 410 Gone.

Served by Fireworks through Foundry. Fireworks per-token models carry a 15-day retirement notice.

New customers can't use Legacy models on Bedrock, and accounts that stop calling one for 15 days may lose access before end of life.

On 14 October 2026 ListFoundationModels still returned this model as active with no end-of-life date; the Bedrock lifecycle page lists the Legacy and end-of-life dates.

Bedrock lists the public extended access start date as to be announced.

Google suggests self-deploying the model from Model Garden or moving to another managed endpoint.

Fireworks also named GLM 5.1 as a migration target.

Removed from serverless only; dedicated deployments of this model are unaffected.

What breaks when you move off DeepSeek-V3.1

  • Availability

    New customers can't use Legacy models, and accounts that stop calling one for 15 days may lose access before the end-of-life date.

    Gemma 3 4B IT, Gemma 3 12B IT, Gemma 3 27B IT, Llama 3 8B Instruct, Llama 3 70B Instruct, Llama 3.1 8B Instruct, Llama 3.1 70B Instruct, Llama 3.3 70B Instruct, Llama 4 Scout 17B 16E Instruct, Llama 4 Maverick 17B 128E Instruct, DeepSeek-R1, DeepSeek-V3.1, Qwen3-Coder-30B-A3B-Instruct, Qwen3-Coder-480B-A35B-Instruct, MiniMax-M2, MiniMax-M2.1, Devstral 2, Mistral 7B Instruct, Mixtral 8x7B Instruct, Voxtral Mini, Voxtral Small, Kimi K2 Thinking, NVIDIA Nemotron Nano 9B v2, NVIDIA Nemotron Nano 12B v2 VL, GLM-4.7, GLM-4.7-Flash · Amazon Bedrock ·

  • Availability

    Requests to the model ID fail after the end-of-life date. Bedrock does not migrate applications to another model.

    Gemma 3 4B IT, Gemma 3 12B IT, Gemma 3 27B IT, Llama 3 8B Instruct, Llama 3 70B Instruct, Llama 3.1 8B Instruct, Llama 3.1 70B Instruct, Llama 3.3 70B Instruct, Llama 4 Scout 17B 16E Instruct, Llama 4 Maverick 17B 128E Instruct, DeepSeek-R1, DeepSeek-V3.1, Qwen3-Coder-30B-A3B-Instruct, Qwen3-Coder-480B-A35B-Instruct, MiniMax-M2, MiniMax-M2.1, Devstral 2, Mistral 7B Instruct, Mixtral 8x7B Instruct, Voxtral Mini, Voxtral Small, Kimi K2 Thinking, NVIDIA Nemotron Nano 9B v2, NVIDIA Nemotron Nano 12B v2 VL, GLM-4.7, GLM-4.7-Flash · Amazon Bedrock ·

  • Tooling

    You can't create new Provisioned Throughput or fine-tuning jobs for a Legacy model.

    Gemma 3 4B IT, Gemma 3 12B IT, Gemma 3 27B IT, Llama 3 8B Instruct, Llama 3 70B Instruct, Llama 3.1 8B Instruct, Llama 3.1 70B Instruct, Llama 3.3 70B Instruct, Llama 4 Scout 17B 16E Instruct, Llama 4 Maverick 17B 128E Instruct, DeepSeek-R1, DeepSeek-V3.1, Qwen3-Coder-30B-A3B-Instruct, Qwen3-Coder-480B-A35B-Instruct, MiniMax-M2, MiniMax-M2.1, Devstral 2, Mistral 7B Instruct, Mixtral 8x7B Instruct, Voxtral Mini, Voxtral Small, Kimi K2 Thinking, NVIDIA Nemotron Nano 9B v2, NVIDIA Nemotron Nano 12B v2 VL, GLM-4.7, GLM-4.7-Flash · Amazon Bedrock ·

  • Availability

    API requests to the retired model IDs fail after the retirement date.

    DeepSeek-R1, DeepSeek-V3.2, DeepSeek-V3.1, GLM-5, GLM-4.7, gpt-oss-20b, Kimi K2 Thinking, Llama 3.3 70B Instruct, MiniMax-M2, Qwen3-235B-A22B-Instruct-2507, Qwen3-Coder-480B-A35B-Instruct, Qwen3-Next-80B-A3B-Instruct, Qwen3 Next 80B A3B Thinking · Google Vertex AI ·

  • Availability

    Inference requests to retired deployments return 410 Gone.

    DeepSeek-R1, DeepSeek-V3, DeepSeek-V3.1 · Azure AI Foundry ·

  • Availability

    Serverless requests to these model IDs stop working after the date. Dedicated deployments are unaffected.

    DeepSeek-V3.1, DeepSeek-V3.2, GLM-4.7, GLM-5, Qwen3-8B, Qwen3-VL-30B-A3B-Thinking, Qwen3-VL-30B-A3B-Instruct, Llama 3.3 70B Instruct · Fireworks AI ·

  • Availability

    Requests to the removed serverless model IDs fail. DeepSeek V3.1 and Qwen3 Coder Next stay available on on-demand dedicated endpoints; DeepSeek R1 does not.

    DeepSeek-R1, DeepSeek-V3.1, Qwen3-Coder-Next · Together AI ·

Intelligence

Third-party results, credited below
Third-party benchmark scores for DeepSeek-V3.1
BenchmarkPublisherScoreRankPublished
Arena TextArena1,417 ± 3#63 of 128Oct 8, 2026

Arena (arena.ai), https://arena.ai/leaderboard

List prices

$ per 1M tokens, with each price’s source
List prices per 1M tokens, in US dollars
PlatformInputCachedOutputIn effectSource
Amazon Bedrockdeepseek.v3-v1:0$0.58–$1.68Oct 1, 2026Current · Standard tier on the bedrock-mantle endpoint (deepseek.v3.1) in us-east-1, where bedrock-runtime does not serve this model.Amazon Web Services: AWS Price List API: AmazonBedrock, us-east-1 (opens in a new tab)

Change history

Shutdown26 open-weight models reach end of life on Amazon BedrockAmazon Bedrock3 breaks

Bedrock moved 26 open-weight models from DeepSeek, Google, Meta, MiniMax, Mistral AI, Moonshot AI, NVIDIA, Qwen and Z.ai to Legacy on 30 September 2026. Requests to them fail after 30 March 2027. On 14 October 2026 ListFoundationModels still reported them as active.

Platform
Amazon Bedrock
Announced
  • AvailabilityNew customers can't use Legacy models, and accounts that stop calling one for 15 days may lose access before the end-of-life date.
  • AvailabilityRequests to the model ID fail after the end-of-life date. Bedrock does not migrate applications to another model.
  • ToolingYou can't create new Provisioned Throughput or fine-tuning jobs for a Legacy model.

Source: Amazon Web Services, Amazon Bedrock User Guide: Model lifecycle (Legacy) (opens in a new tab); Amazon Web Services, Amazon Bedrock ListFoundationModels, us-east-1 (opens in a new tab)

ShutdownDeepSeek, GLM, Kimi, Llama, MiniMax, Qwen and GPT OSS endpoints retire on Agent PlatformGoogle Vertex AI1 break

Google retires its managed endpoints for DeepSeek, GLM, GPT OSS 20B, Kimi K2 Thinking, Llama 3.3 70B, MiniMax M2 and Qwen3 models on Gemini Enterprise Agent Platform. Google suggests self-deploying them from Model Garden.

Platform
Google Vertex AI
Announced
  • AvailabilityAPI requests to the retired model IDs fail after the retirement date.

Source: Google Cloud, Gemini Enterprise Agent Platform release notes (opens in a new tab); Google Cloud, Open model deprecations (opens in a new tab)

ShutdownDeepSeek R1-0528, V3-0324 and V3.1 retired on Azure AI FoundryAzure AI Foundry1 break

Microsoft retired DeepSeek-R1-0528, DeepSeek-V3-0324 and DeepSeek-V3.1. It lists DeepSeek-V4-Pro for R1-0528 and DeepSeek-V4-Flash for the V3 models.

Platform
Azure AI Foundry
  • AvailabilityInference requests to retired deployments return 410 Gone.

Source: Microsoft, Model retirement schedule - Microsoft Foundry (opens in a new tab); Microsoft, Microsoft Foundry Models lifecycle and support policy (opens in a new tab)

ShutdownFireworks removes eight older models from serverlessFireworks AI1 break

DeepSeek V3.1, DeepSeek V3.2, GLM 4.7, GLM 5, Qwen3 8B, both Qwen3 VL 30B A3B models and Llama 3.3 70B Instruct left serverless. Fireworks named Kimi K2.6, GLM 5.1, GPT-OSS 20B and GPT-OSS 120B as migration targets.

Platform
Fireworks AI
  • AvailabilityServerless requests to these model IDs stop working after the date. Dedicated deployments are unaffected.

Source: Fireworks AI, Changelog (opens in a new tab)

ShutdownDeepSeek R1, DeepSeek V3.1 and Qwen3 Coder Next leave Together serverlessTogether AI1 break

Together removed deepseek-ai/DeepSeek-R1, deepseek-ai/DeepSeek-V3.1 and Qwen/Qwen3-Coder-Next-FP8 from serverless inference.

Platform
Together AI
  • AvailabilityRequests to the removed serverless model IDs fail. DeepSeek V3.1 and Qwen3 Coder Next stay available on on-demand dedicated endpoints; DeepSeek R1 does not.

Source: Together AI, Deprecations (opens in a new tab); Together AI, Changelog (opens in a new tab)

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