Which model is better: Mistral Large 2 or Qwen 2.5 Max?

Qwen 2.5 Max is 86.0% cheaper for input tokens ($0.28 vs. $2.00 per 1M tokens) and $0.84 vs. $6.00 for output tokens (7.1x cost difference). In terms of operational performance, Qwen 2.5 Max delivers faster response latency with 480ms TTFT (70ms faster than Mistral Large 2). Qwen 2.5 Max leads coding benchmarks at 44.2% 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 Mistral Large 2 Qwen 2.5 Max Net Delta / Advantage
Input Cost / 1M Tokens $2.00 $0.28 Qwen 2.5 Max is 7.1x cheaper
Output Cost / 1M Tokens $6.00 $0.84 Qwen 2.5 Max (614.3% lower)
Avg TTFT Response Latency 550ms 480ms Qwen 2.5 Max (+70ms faster)
SWE-bench Verified (Coding) 39% 44.2% Qwen 2.5 Max (+5.2% lead)
Inference Value Score (IVR) 53.9 / 100 99.9 / 100 Qwen 2.5 Max (+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

Mistral Large 2 $5.45

$2/1M in · $6/1M out

Qwen 2.5 Max $67.50

$0.28/1M in · $0.84/1M out

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

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 have an infrastructure budget aligned with $2.00/1M tokens.

B

When to Choose Qwen 2.5 Max

Choose Qwen 2.5 Max when you need High-performance enterprise reasoning across Asian and Western languages with advanced structured output handling. and prioritize Alibaba Cloud ecosystem integration at $0.28/1M tokens.

Related Questions & Decision Factors

Which is cheaper: Mistral Large 2 or Qwen 2.5 Max?

Qwen 2.5 Max is cheaper at $0.28/1M input tokens compared to $2.00/1M for Mistral Large 2.

Which model has lower latency: Mistral Large 2 or Qwen 2.5 Max?

Qwen 2.5 Max delivers faster response times with an average TTFT of 480ms vs 550ms for Mistral Large 2.

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 have an infrastructure budget aligned with $2.00/1M tokens.

When should you choose Qwen 2.5 Max?

Choose Qwen 2.5 Max when you need High-performance enterprise reasoning across Asian and Western languages with advanced structured output handling. and prioritize Alibaba Cloud ecosystem integration at $0.28/1M tokens.

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