Amazon Nova Pro vs Mistral Large
Pricing, benchmarks, and use case comparison
Quick take
- •Amazon Nova Pro leads on 1 of 1 shared benchmarks, including MMLU (~85% vs 84.0%).
- •Amazon Nova Pro is meaningfully stronger at multimodal (85 vs 65 on our capability index).
- •Mistral Large is meaningfully stronger at coding (82 vs 68).
- •Amazon Nova Pro is 60% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
- •Amazon Nova Pro has a 300K tokens context window vs 128000 - better for whole-repo or long-document work.
Specs comparison
| Amazon Nova Pro | Mistral Large | |
|---|---|---|
| Provider | Amazon Web Services | Mistral AI |
| Type | Closed source | Closed source |
| Context window | ✓300K tokens | 128000 |
| Input / 1M tokens | ✓$0.80 | 2.00 |
| Output / 1M tokens | $3.20 | 6.00 |
| Release date | 2024-12 | 2024-02 |
Benchmarks
| Benchmark | Amazon Nova Pro | Mistral Large |
|---|---|---|
| MMLU | ✓~85% | 84.0% |
| HumanEval | - | 92.0% |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose Amazon Nova Pro if...
- →You are building on AWS and want native Bedrock integration
- →You need multimodal understanding of images or video plus text
- →You want a cost-balanced general model with a large context
- →You need enterprise controls: data residency, service tiers, prompt caching
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