Model comparison
Qwen3 Max vs Mistral Large 3
Compare Qwen3 Max vs Mistral Large 3 API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.
Qwen3 Max
novita · novita/qwen/qwen3-max
- Input
- $2.11
- Output
- $8.45
- Context
- 262.1K
Mistral Large 3
mistral · mistral/mistral-large-3
- Input
- $0.5
- Output
- $1.5
- Context
- 262.1K
Quick take
Mistral Large 3 has the lower input price at $0.5 per 1M input tokens. Mistral Large 3 is cheaper for the example blended workload below. Qwen3 Max has the larger context window at 262.1K tokens.
Choose Qwen3 Max if...
- Qwen3 Max is a reasonable pick when its provider, latency, or integration path fits your stack better.
Choose Mistral Large 3 if...
- Mistral Large 3 is the better default for cost-sensitive traffic and repeated high-volume calls.
- Mistral Large 3 gives more room for long generated answers, reports, or code output.
- Mistral Large 3 is required if images, screenshots, or visual documents are part of the workflow.
Example workload cost
Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.
| Workload | Qwen3 Max | Mistral Large 3 | Cheaper |
|---|---|---|---|
| 1M input + 200K output | $3.80 | $0.80 | Mistral Large 3 |
| 10M input + 2M output | $38.00 | $8.00 | Mistral Large 3 |
| 100M input + 20M output | $380.00 | $80.00 | Mistral Large 3 |
Context, output, and capability fit
Qwen3 Max provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.
- Qwen3 Max max output
- 65.5K
- Mistral Large 3 max output
- 262.1K
- Qwen3 Max features
- function calling
- Mistral Large 3 features
- function calling, vision
Risk notes for Qwen3 Max
- No prompt caching in this snapshot: repeated long-context calls may be more expensive.
Risk notes for Mistral Large 3
- No prompt caching in this snapshot: repeated long-context calls may be more expensive.
Routing tags
frontiercodingreasoningagentsopen-weightlocal-openenterprise