Claude Fable 5 vs Mistral Large
Pricing, benchmarks, and use case comparison
Quick take
- •Claude Fable 5 is meaningfully stronger at multimodal (92 vs 65 on our capability index).
- •Mistral Large is meaningfully stronger at speed (70 vs 55).
- •Mistral Large is 80% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
- •Claude Fable 5 has a 1M context window vs 128000 - better for whole-repo or long-document work.
Specs comparison
| Claude Fable 5 | Mistral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Type | Closed source | Closed source |
| Context window | ✓1M | 128000 |
| Input / 1M tokens | $10.00 | ✓2.00 |
| Output / 1M tokens | $50.00 | 6.00 |
| Release date | 2026-06 | 2024-02 |
Benchmarks
| Benchmark | Claude Fable 5 | Mistral Large |
|---|---|---|
| SWE-bench Verified | 95.0% | - |
| Terminal-Bench 2.1 | 88.0% | - |
| GPQA Diamond | 92.6% | - |
| SWE-bench Pro | 80.3% | - |
| MMLU | - | 84.0% |
| HumanEval | - | 92.0% |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose Claude Fable 5 if...
- →You need the absolute highest capability Anthropic offers for hard tasks
- →You run long, complex autonomous agents where quality compounds over many steps
- →You do frontier-level engineering, research, or analytics and cost is secondary
- →You want maximum accuracy on the toughest coding and reasoning benchmarks
Choose Mistral Large if...
- →You need a strong European-built flagship with open weights
- →Your work is multilingual or requires nuanced reasoning
- →You want structured/JSON output and solid coding ability
- →You need the option to self-host for data sovereignty