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DeepSeek V3.1 Terminus vs Mistral Medium 3.5

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V3.1 Terminus and Mistral Medium 3.5.

DeepSeek

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 optimizing the model's...

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Mistral

Mistral Medium 3.5

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

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Technical Specifications

SpecificationDeepSeek V3.1 TerminusMistral Medium 3.5
ProviderDeepSeekMistral
Context Window163,840 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-09-222026-04-30

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3.1 Terminus

$0.27

Mistral Medium 3.5

$1.50

Output Price per Million Tokens

DeepSeek V3.1 Terminus

$0.95

Mistral Medium 3.5

$7.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

DeepSeek V3.1 Terminus Quirks & Gotchas

No developer gotchas reported.

Mistral Medium 3.5 Quirks & Gotchas

No developer gotchas reported.