Which model is better: DeepSeek-R1 or Mistral Large 2?

DeepSeek-R1 is 72.5% cheaper for input tokens ($0.55 vs. $2.00 per 1M tokens) and $2.19 vs. $6.00 for output tokens (3.6x cost difference). In terms of operational performance, Mistral Large 2 delivers faster response latency with 550ms TTFT (1250ms faster than DeepSeek-R1). DeepSeek-R1 leads coding benchmarks at 49.2% SWE-bench vs. 39.0% for Mistral Large 2.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta

Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.

Metric / Dimension DeepSeek-R1 Mistral Large 2 Net Delta / Advantage
Input Cost / 1M Tokens $0.55 $2.00 DeepSeek-R1 is 3.6x cheaper
Output Cost / 1M Tokens $2.19 $6.00 DeepSeek-R1 (63.5% lower)
Avg TTFT Response Latency 1800ms 550ms Mistral Large 2 (+1250ms faster)
SWE-bench Verified (Coding) 49.2% 39% DeepSeek-R1 (+10.2% lead)
Inference Value Score (IVR) 99.9 / 100 53.9 / 100 DeepSeek-R1 (+46 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model your expected production workload across prompt (input) and completion (output) tokens.

Live Calculation Engine
10.0M Tokens
100K 50M 250M 500M+
2.5M Tokens
100K 10M 50M 100M+

Estimated Monthly Spend

DeepSeek-R1 $5.45

$0.55/1M in · $2.19/1M out

Mistral Large 2 $67.50

$2/1M in · $6/1M out

Projected Monthly Cost Reduction
$62.05 / mo
(91.9% lower cost)
A

When to Choose DeepSeek-R1

Choose DeepSeek-R1 when you need Open-weights chain-of-thought reasoning for complex mathematics, algorithmic programming, and scientific research. and have an infrastructure budget aligned with $0.55/1M tokens.

B

When to Choose Mistral Large 2

Choose Mistral Large 2 when you need European sovereign enterprise workflows, sophisticated function-calling pipelines, and multi-language code generation. and prioritize Mistral AI ecosystem integration at $2.00/1M tokens.

Related Questions & Decision Factors

Which is cheaper: DeepSeek-R1 or Mistral Large 2?

DeepSeek-R1 is cheaper at $0.55/1M input tokens compared to $2.00/1M for Mistral Large 2.

Which model has lower latency: DeepSeek-R1 or Mistral Large 2?

Mistral Large 2 delivers faster response times with an average TTFT of 550ms vs 1800ms for DeepSeek-R1.

When should you choose DeepSeek-R1?

Choose DeepSeek-R1 when you need Open-weights chain-of-thought reasoning for complex mathematics, algorithmic programming, and scientific research. and have an infrastructure budget aligned with $0.55/1M tokens.

When should you choose Mistral Large 2?

Choose Mistral Large 2 when you need European sovereign enterprise workflows, sophisticated function-calling pipelines, and multi-language code generation. and prioritize Mistral AI ecosystem integration at $2.00/1M tokens.

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