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DeepSeek R1 vs Mistral Large 2

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 R1 and Mistral Large 2.

DeepSeek

DeepSeek R1

A premier reasoning model employing large-scale reinforcement learning. Displays specialized math, coding, and logical validation capabilities comparable to OpenAI's o1.

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Mistral

Mistral Large 2

Mistral Large 2 is Mistral AI's second-generation flagship commercial model, delivering substantial improvements over the original Mistral Large in reasoning, tool use, multilingual capabilities, and instruction following. With a 1-million-token context window, it processes entire codebases and lengthy documents in a single pass. Mistral Large 2 excels at complex agentic workflows, structured JSON output, and native function calling โ€” making it one of the top choices for European enterprises requiring GDPR-compliant AI infrastructure.

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Technical Specifications

SpecificationDeepSeek R1Mistral Large 2
ProviderDeepSeekMistral
Context Window163,840 tokens1,048,576 tokens
Agent Suitability78/10093/100
Time to First Token (TTFT)1800 ms270 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-01-202025-07-24

API Pricing Comparison

Input Price per Million Tokens

DeepSeek R1

$0.70

Mistral Large 2

$0.60

Output Price per Million Tokens

DeepSeek R1

$2.50

Mistral Large 2

$1.80

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.

MMLUGeneral knowledge & multi-task understanding
9080.0%vsN/A
DeepSeek R1
Mistral Large 2
HumanEvalPython coding & logic synthesis
9280.0%vsN/A
DeepSeek R1
Mistral Large 2
MATHComplex mathematical problem solving
9310.0%vsN/A
DeepSeek R1
Mistral Large 2
GPQAGraduate-level expert reasoning
6210.0%vsN/A
DeepSeek R1
Mistral Large 2
HellaSwagCommonsense reasoning and inference
9050.0%vsN/A
DeepSeek R1
Mistral Large 2
MT-BenchMulti-turn conversation flow quality
935.0%vsN/A
DeepSeek R1
Mistral Large 2

DeepSeek R1 Quirks & Gotchas

  • โ–ธReasoning model โ€” not designed for high-frequency tool calling
  • โ–ธPair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only

Mistral Large 2 Quirks & Gotchas

  • โ–ธExcellent European data sovereignty โ€” GDPR-compliant infrastructure
  • โ–ธ1M context window enables full codebase analysis in a single pass