Mistral Nemotron vs Nova 2 Pro
Nova 2 Pro comes out ahead, 86 to 62 on our weighted score.
NVIDIAMistral Nemotron
62/100- ECI—
- PriceFree / Free
- Context128K
- Our pick
AmazonNova 2 Pro
86/100- ECI—
- PriceFree / Free
- Context1M
Add a model
Make it a three-way comparison.
Nova 2 Pro is our pick
Nova 2 Pro is the better all-round choice, scoring 86/100 against Mistral Nemotron (62). It leads on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceSame priceMistral Nemotron Free · Nova 2 Pro Free per 1M tokens (3:1 blend)
- Longest contextNova 2 ProNova 2 Pro 1,000,000 · Mistral Nemotron 128,000 tokens
- Widest inputsNova 2 ProMistral Nemotron: Text · Nova 2 Pro: Text, Images, PDFs, Video
- Self-hostingMistral NemotronPublishes downloadable weights
| Measure | Weight | Mistral Nemotron | Nova 2 Pro |
|---|---|---|---|
| Price | 50% | 100 | 100 |
| Inputs & features | 30% | 25 | 80 |
| Context window | 20% | 24 | 60 |
| Overall | 100% | 62/100 | 86/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral NemotronNVIDIA | Nova 2 ProAmazon |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | Free | Free |
| Output | Free | Free |
| Cached input | — | — |
| Blended (3:1) | Free | Free |
| Long-context rate | Same rate | Same rate |
| Price source | Official Nvidia API | Official Nova API |
| Limits | ||
| Context window | 128,000 tokens | 1,000,000 tokens (best) |
| Max output | 8,192 tokens | 64,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | mistralai/mistral-nemotron | nova-2-pro-v1 |
| API providers | 1 | 1 |
| Released | Jun 11, 2025 | Dec 3, 2025 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mistral NemotronFree
- Nova 2 ProFree
Which should you choose?
Which is better: Mistral Nemotron or Nova 2 Pro?
Nova 2 Pro is the better all-round choice, scoring 86/100 against Mistral Nemotron (62). It leads on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Mistral Nemotron or Nova 2 Pro?
Mistral Nemotron and Nova 2 Pro cost the same: Free input / Free output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mistral Nemotron has not been scored yet and Nova 2 Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Nemotron and Nova 2 Pro yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Nova 2 Pro has the largest context window at 1,000,000 tokens, against 128,000 for Mistral Nemotron. Maximum output per response: Mistral Nemotron up to 8,192, Nova 2 Pro up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Mistral Nemotron accepts text; Nova 2 Pro accepts text, images, PDFs and video. Nova 2 Pro handles the widest range of inputs.
Are any of these open source?
Mistral Nemotron publishes its weights and can be self-hosted; Nova 2 Pro is proprietary.
Which is newer?
Nova 2 Pro is the newest, released Dec 3, 2025. Mistral Nemotron came out Jun 11, 2025.
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.
