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Qwen3.8-Max vs Mistral Large 3

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Qwen3.8-Max Cost
$3.20
Mistral Large 3 Cost
$0.80
Mistral Large 3 is 75% cheaper
FeatureQwen3.8-MaxMistral Large 3
ProviderAlibabaMistral
Input Price (1M)$2.00$0.50
Output Price (1M)$6.00$1.50
Context Window1,000,000262,000

Verdict

Qwen3.8-Max costs $2.00 per 1M input tokens and $6.00 per 1M output tokens. Mistral Large 3 costs $0.50 per 1M input tokens and $1.50 per 1M output tokens. Mistral Large 3 is 75% cheaper on input tokens than Qwen3.8-Max. For output tokens, Mistral Large 3 is the more affordable option at $1.50/1M vs $6.00.

On context window, Qwen3.8-Max supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose Qwen3.8-Max

  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with Alibaba

When to choose Mistral Large 3

  • ✓ You need the lowest input token cost ($ 0.50/1M)
  • ✓ Your workload is output-heavy — Mistral Large 3 generates text cheaper
  • ✓ You are already integrated with Mistral

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is Qwen3.8-Max cheaper than Mistral Large 3?

Mistral Large 3 is cheaper on input tokens at $0.50/1M vs $2.00/1M for Qwen3.8-Max — a 75% saving.

What is the context window of Qwen3.8-Max vs Mistral Large 3?

Qwen3.8-Max has a 1,000,000-token context window. Mistral Large 3 has a 262,000-token context window. Qwen3.8-Max supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Qwen3.8-Max or Mistral Large 3?

The best choice depends on your use case. For cost efficiency on input tokens, Mistral Large 3 is the cheaper option. For maximum context length, Qwen3.8-Max supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.