Mistral Large 2.1 vs Nova Pro
Nova Pro comes out ahead, 48 to 38 on our weighted score, and it is the cheaper option too.
Mistral AIMistral Large 2.1
38/100- ECI128.5
- Price$2.00 / $6.00
- Context131K
- Our pick
AmazonNova Pro
48/100- ECI123.8
- Price$0.80 / $3.20
- Context300K
Add a model
Make it a three-way comparison.
Nova Pro is our pick
Nova Pro is the better all-round choice, scoring 48/100 against Mistral Large 2.1 (38). It leads on price, inputs & features and context window. Mistral Large 2.1 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMistral Large 2.1Capabilities Index (ECI): Mistral Large 2.1 128.5 · Nova Pro 123.8
- Lowest priceNova ProNova Pro $1.40 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
- Longest contextNova ProNova Pro 300,000 · Mistral Large 2.1 131,072 tokens
- Widest inputsNova ProMistral Large 2.1: Text · Nova Pro: Text, Images, PDFs, Video
- Self-hostingMistral Large 2.1Publishes downloadable weights
| Measure | Weight | Mistral Large 2.1 | Nova Pro |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 51 | 45 |
| Price | 25% | 27 | 43 |
| Inputs & features | 15% | 25 | 70 |
| Context window | 10% | 24 | 39 |
| Overall | 100% | 38/100 | 48/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral Large 2.1Mistral AI | Nova ProAmazon |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 128.5 (best) | 123.8 |
| ECI rank | #130 of 148 (best) | #137 of 148 |
| GPQA DiamondGraduate-level science questions | 51.3% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 7.8% | — |
| Price per million tokens | ||
| Input | $2.00 | $0.80 (best) |
| Output | $6.00 | $3.20 (best) |
| Cached input | — | $0.20 |
| Blended (3:1) | $3.00 | $1.40 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Amazon Bedrock API |
| Limits | ||
| Context window | 131,072 tokens | 300,000 tokens (best) |
| Max output | 16,384 tokens (best) | 10,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | mistral-large-2411 | amazon.nova-pro-v1:0 |
| API providers | 2 | 3 (best) |
| Released | Nov 18, 2024 | Dec 3, 2024 |
| Knowledge cutoff | Nov 2024 | Oct 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mistral Large 2.1$32.00
- Nova Pro$14.40
Which should you choose?
Which is better: Mistral Large 2.1 or Nova Pro?
Nova Pro is the better all-round choice, scoring 48/100 against Mistral Large 2.1 (38). It leads on price, inputs & features and context window. Mistral Large 2.1 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Large 2.1 or Nova Pro?
Nova Pro is cheaper at $0.80 input / $3.20 output per million tokens (official Amazon Bedrock API price). Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $1.40 per million tokens for Nova Pro versus $3.00 for Mistral Large 2.1 (2.1× as much).
Which scores higher on benchmarks?
Mistral Large 2.1 scores higher on the Capabilities Index (ECI): Mistral Large 2.1 128.5 (#130 of 148) and Nova Pro 123.8 (#137 of 148). The confidence ranges of the top two overlap (123.8–130.8 vs 108.8–126.6), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large 2.1 and Nova Pro yet, so there is no like-for-like coding score. On overall capability, Mistral Large 2.1 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Nova Pro has the largest context window at 300,000 tokens, against 131,072 for Mistral Large 2.1. Maximum output per response: Mistral Large 2.1 up to 16,384, Nova Pro up to 10,000 tokens.
Which can read images, PDFs, audio or video?
Mistral Large 2.1 accepts text; Nova Pro accepts text, images, PDFs and video. Nova Pro handles the widest range of inputs.
Are any of these open source?
Mistral Large 2.1 publishes its weights and can be self-hosted; Nova Pro is proprietary.
Which is newer?
Nova Pro is the newest, released Dec 3, 2024. Mistral Large 2.1 came out Nov 18, 2024. Knowledge cutoff: Mistral Large 2.1 Nov 2024, Nova Pro Oct 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
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