DeepSeek · Released Sep 22, 2025

DeepSeek V3.1 Terminus

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further…

ReasoningOpen weights
Released
Sep 22 2025
Context window
164K 147K out
Input / 1M tokens
$0.27
Output / 1M tokens
$1.00

Where to run it

2 providers compared

Cheapest: SiliconFlow at $0.27 / $1.00 per 1M input / output tokens — 12% less than the priciest option.

ProviderInputOutputContextMax outputUptimevs. best
SiliconFlowFP8 $0.27 $1.00 164K147K98.9%24h Cheapest
StreamLakeno tool calling $0.34 $1.03 128K32K100%24h +14%

Value

Price vs. performance

19 models score higher for the same price or lesson SciCode, e.g. Kimi K3.
27.8%40.8%53.9%66.9% $0.01$0.10$1.00$10.00 Gemini 4 Argon (Google) — 61.8% · $2.00/1M in Step 5 Preview (StepFun) — 58.9% · $1.00/1M in Claude Haiku 5.5 (Anthropic) — 55.0% · $0.10/1M in Mistral Large 4 (Mistral) — 54.2% · $0.68/1M in GPT-6.1 Sol (OpenAI) — 55.8% · $2.00/1M in Claude Sonnet 5.5 (Anthropic) — 61.0% · $2.00/1M in GPT-6 Luna (OpenAI) — 54.6% · $0.10/1M in GPT-6 Sol (OpenAI) — 57.6% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 66.9% · $4.00/1M in MiMo-V2.6-Flash (Xiaomi) — 51.3% · $0.14/1M in MiMo-V2.6-Pro (Xiaomi) — 60.9% · $0.43/1M in Grok 4.7 (xAI) — 57.8% · $2.00/1M in GPT-6 Astra (OpenAI) — 56.5% · $10.00/1M in Qwen3.8 Max (0902) (Qwen) — 53.2% · $2.00/1M in Muse Spark 1.3 (Meta) — 59.7% · $1.25/1M in Gemini 3.8 Flash (Google) — 56.6% · $0.82/1M in Claude Fable 5.1 (Anthropic) — 63.1% · $10.00/1M in GLM 5.3 Flash (Z.ai) — 51.6% · $0.047/1M in GLM 5.3 (Z.ai) — 59.0% · $0.079/1M in Qwen3.8 27B (Qwen) — 46.6% · $0.04/1M in Gemini 3.7 Flash (Google) — 59.8% · $0.75/1M in Grok 4.6 (xAI) — 56.5% · $2.00/1M in Muse Spark 1.2 (Meta) — 57.4% · $1.25/1M in Claude Opus 5 (Anthropic) — 56.4% · $5.00/1M in Gemini 3.6 Flash (Google) — 53.4% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 41.3% · $0.30/1M in Kimi K3 (Moonshot AI) — 59.5% · $0.24/1M in Muse Spark 1.1 (Meta) — 58.8% · $1.25/1M in GPT-5.6 Luna (OpenAI) — 53.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 55.0% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 57.8% · $4.00/1M in Grok 4.5 (xAI) — 55.0% · $2.00/1M in Claude Sonnet 5 (Anthropic) — 54.3% · $2.00/1M in GLM 5.2 (Z.ai) — 51.2% · $0.62/1M in Kimi K2.7 Code (Moonshot AI) — 47.8% · $0.67/1M in Claude Fable 5 (Anthropic) — 61.0% · $10.00/1M in Qwen3.7 Plus (Qwen) — 46.1% · $0.32/1M in MiniMax M3 (MiniMax) — 47.1% · $0.30/1M in Step 3.7 Flash (StepFun) — 40.1% · $0.20/1M in Claude Opus 4.8 (Anthropic) — 53.5% · $5.00/1M in Qwen3.7 Max (Qwen) — 49.5% · $1.48/1M in Grok Build 0.1 (xAI) — 50.2% · $1.00/1M in Gemini 3.5 Flash (Google) — 53.9% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 43.4% · $0.25/1M in Grok 4.3 (xAI) — 48.3% · $1.25/1M in Qwen3.6 35B A3B (Qwen) — 36.6% · $0.10/1M in Qwen3.6 27B (Qwen) — 37.3% · $0.25/1M in GPT-5.5 (OpenAI) — 56.1% · $5.00/1M in MiMo-V2.5-Pro (Xiaomi) — 50.2% · $0.43/1M in MiMo-V2.5 (Xiaomi) — 43.1% · $0.14/1M in Kimi K2.6 (Moonshot AI) — 53.5% · $0.65/1M in Claude Opus 4.7 (Anthropic) — 54.5% · $5.00/1M in GLM 5.1 (Z.ai) — 44.8% · $0.97/1M in Gemma 4 31B (Google) — 45.5% · $0.20/1M in Qwen3.6 Plus (Qwen) — 40.7% · $0.33/1M in MiniMax M2.7 (MiniMax) — 50.1% · $0.30/1M in GPT-5.4 Nano (OpenAI) — 47.2% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 52.1% · $0.75/1M in Mistral Small 4 (Mistral) — 27.8% · $0.15/1M in Qwen3.5-9B (Qwen) — 29.5% · $0.10/1M in GPT-5.4 (OpenAI) — 56.6% · $2.50/1M in Gemini 3.1 Flash Lite Preview (Google) — 43.4% · $0.25/1M in Qwen3.5-35B-A3B (Qwen) — 29.3% · $0.15/1M in Qwen3.5-122B-A10B (Qwen) — 35.6% · $0.26/1M in Gemini 3.1 Pro Preview (Google) — 58.7% · $2.00/1M in Claude Sonnet 4.6 (Anthropic) — 46.8% · $3.00/1M in Qwen3 Coder Next (Qwen) — 36.2% · $0.12/1M in Kimi K2.5 (Moonshot AI) — 49.0% · $0.50/1M in GLM 4.7 (Z.ai) — 45.1% · $0.54/1M in Mistral Large 3 2512 (Mistral) — 36.6% · $0.50/1M in GPT-5.1 (OpenAI) — 43.3% · $1.25/1M in Claude Haiku 4.5 (Anthropic) — 42.3% · $1.00/1M in GLM 4.6 (Z.ai) — 38.4% · $0.55/1M in Claude Sonnet 4.5 (Anthropic) — 45.7% · $3.00/1M in GPT-5 (OpenAI) — 42.9% · $1.25/1M in GPT-5 Mini (OpenAI) — 39.2% · $0.25/1M in gpt-oss-120b (OpenAI) — 36.0% · $0.15/1M in gpt-oss-20b (OpenAI) — 38.9% · $0.018/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 41.4% · $0.45/1M in Gemini 2.5 Pro (Google) — 46.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 46.3% · $1.25/1M in Qwen3 14B (Qwen) — 31.6% · $0.12/1M in Qwen3 32B (Qwen) — 35.4% · $0.08/1M in DeepSeek V4.1 Flash 1017 (DeepSeek) — 51.8% · $0.30/1M in DeepSeek V4.1 Flash (DeepSeek) — 51.8% · $0.056/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 51.0% · $0.66/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 49.9% · $0.44/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 51.0% · $0.95/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 49.9% · $0.091/1M in DeepSeek V3.2 (DeepSeek) — 38.9% · $0.28/1M in DeepSeek V3.2 Exp (DeepSeek) — 38.9% · $0.27/1M in R1 0528 (DeepSeek) — 38.3% · $0.50/1M in DeepSeek V3.1 Terminus (DeepSeek) — 38.0% · $0.27/1M in DeepSeek V3.1 Terminus

DeepSeek V3.1 Terminus Other DeepSeek Other labs Value frontier · SciCode vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

3 benchmark scores

BenchmarkScoreRankLeader
SciCodeSoftware engineering · Research-coding problems from the natural sciences 38.0% #82of 93 Claude Opus 5.566.9%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 1.7% #71of 96 GPT-5.6 Sol32.3%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 28.6% #83of 96 Claude Sonnet 5.568.3%

Specs

Details

Model ID
deepseek/deepseek-v3.1-terminus
Developer
DeepSeek
Release date
Sep 22, 2025 ·
Context window
163,840 tokens
Max output
147,456 tokens
API price
$0.27 / $1.00 per 1M input / output tokens
Providers
2
Input types
text
Reasoning
Yes
Tool calling
Yes
Open weights
Yes
Free tier
No

Release date, prices and providers from OpenRouter's catalog; buying directly from a provider can cost a little differently. Uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.