AI model comparison
Nova Pro 1.0 vs Mistral Large 2407
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Amazon
Nova Pro 1.0
Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks.
- Input / 1M
- $0.80
- Output / 1M
- $3.20
- Context
- 300K
Mistral
Mistral Large 2407
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more.
- Input / 1M
- $2
- Output / 1M
- $6
- Context
- 131K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Nova Pro 1.0
2.2x cheaper for a typical chat
Higher intelligence score
Mistral Large 2407
7.6 vs 7 on Artificial Analysis
Larger context window
Nova Pro 1.0
300K vs 131K tokens
Newer release
Nova Pro 1.0
Released December 5, 2024
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Nova Pro 1.07Mistral Large 24077.6Coding index
Nova Pro 1.0Not availableMistral Large 2407Not availableAgentic index
Nova Pro 1.0Not availableMistral Large 2407Not availablePricing
Nova Pro 1.0 vs Mistral Large 2407 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Nova Pro 1.0 | Mistral Large 2407 |
|---|---|---|
| Input tokensPer 1M tokens | $0.80 | $2 |
| Output tokensPer 1M tokens | $3.20 | $6 |
| Cached input (read)Per 1M tokens | Not available | $0.20 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Nova Pro 1.0$3.20Mistral Large 2407$7Coding task
30K in, 4K out
Nova Pro 1.0$36.80Mistral Large 2407$84$30 cachedLong document summary
150K in, 2K out
Nova Pro 1.0$126.40Mistral Large 2407$312$42 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Nova Pro 1.0 | Mistral Large 2407 |
|---|---|---|
| Context window | 300K tokens | 131K tokens |
| Max output | 5K tokens | 105K tokens |
| Input types | Image, Text | File, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | December 5, 2024 | November 19, 2024 |
Features
Supported features
API features available for each model.
| Metric | Nova Pro 1.0 | Mistral Large 2407 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Not supported | Supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Nova Pro 1.0View full model details- Nova Pro 1.0 vs GPT-4.1 Mini
- Nova Pro 1.0 vs Qwen3 VL 235B A22B Instruct
- Nova Pro 1.0 vs Mistral Medium 3.1
- Nova Pro 1.0 vs Nova Premier 1.0
- Nova Pro 1.0 vs Mistral Medium 3
- Nova Pro 1.0 vs Devstral 2 2512
- Nova Pro 1.0 vs GLM 4.5V
- Nova Pro 1.0 vs Hermes 4 405B
- Nova Pro 1.0 vs GPT-4o-mini
- Nova Pro 1.0 vs Mistral Large
- Nova Pro 1.0 vs Mixtral 8x22B Instruct
Mistral Large 2407View full model details- Mistral Large 2407 vs Mistral Medium 3.1
- Mistral Large 2407 vs Nova Premier 1.0
- Mistral Large 2407 vs Mistral Medium 3
- Mistral Large 2407 vs Devstral 2 2512
- Mistral Large 2407 vs GPT-4o (2024-11-20)
- Mistral Large 2407 vs GPT-4o (2024-08-06)
- Mistral Large 2407 vs Sonar Pro
- Mistral Large 2407 vs Hermes 4 405B
- Mistral Large 2407 vs GPT-4o (2024-05-13)
- Mistral Large 2407 vs GPT-4 Turbo
- Mistral Large 2407 vs GPT-4
- Mistral Large 2407 vs Mistral Large
- Mistral Large 2407 vs Mixtral 8x22B Instruct
Our take
Nova Pro 1.0 is 2.2x cheaper for a typical chat. Mistral Large 2407 scores higher on the Artificial Analysis Intelligence Index (7.6 vs 7). Nova Pro 1.0 has the larger context window (300K vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Nova Pro 1.0 or Mistral Large 2407 cheaper?
Nova Pro 1.0 is cheaper for a typical chat (2K input tokens and 500 output tokens). Nova Pro 1.0 costs $0.80 per 1M input tokens and $3.20 per 1M output tokens, while Mistral Large 2407 costs $2 per 1M input tokens and $6 per 1M output tokens.
Which has a bigger context window, Nova Pro 1.0 or Mistral Large 2407?
Nova Pro 1.0 supports up to 300K tokens of context, compared with 131K for Mistral Large 2407.
Is Nova Pro 1.0 smarter than Mistral Large 2407?
On the Artificial Analysis Intelligence Index, Nova Pro 1.0 scores 7 and Mistral Large 2407 scores 7.6, putting Mistral Large 2407 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Nova Pro 1.0 and Mistral Large 2407 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Nova Pro 1.0 and Mistral Large 2407 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nova Pro 1.0 and Mistral Large 2407 at the same time. Compare the answers side by side and keep the best one.