Mistral Large 2.1 vs Sonar Pro
Mistral Large 2.1 comes out ahead, 26 to 20 on our weighted score, and it is the cheaper option too.
- Our pick
Mistral AIMistral Large 2.1
26/100- ECI128.5
- Price$2.00 / $6.00
- Context131K
PerplexitySonar Pro
20/100- ECI—
- Price$3.00 / $15.00
- Context200K
Add a model
Make it a three-way comparison.
Mistral Large 2.1 is our pick
Mistral Large 2.1 is the better all-round choice, scoring 26/100 against Sonar Pro (20). It leads on price. Sonar Pro wins on 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 priceMistral Large 2.1Mistral Large 2.1 $3.00 · Sonar Pro $6.00 per 1M tokens (3:1 blend)
- Longest contextSonar ProSonar Pro 200,000 · Mistral Large 2.1 131,072 tokens
- Widest inputsSonar ProMistral Large 2.1: Text · Sonar Pro: Text, Images
- Self-hostingMistral Large 2.1Publishes downloadable weights
| Measure | Weight | Mistral Large 2.1 | Sonar Pro |
|---|---|---|---|
| Price | 50% | 27 | 13 |
| Inputs & features | 30% | 25 | 25 |
| Context window | 20% | 24 | 32 |
| Overall | 100% | 26/100 | 20/100 |
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 Large 2.1Mistral AI | Sonar ProPerplexity |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 128.5 | — |
| ECI rank | #130 of 148 | — |
| GPQA DiamondGraduate-level science questions | 51.3% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 7.8% | — |
| Price per million tokens | ||
| Input | $2.00 (best) | $3.00 |
| Output | $6.00 (best) | $15.00 |
| Cached input | — | — |
| Blended (3:1) | $3.00 (best) | $6.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Perplexity API |
| Limits | ||
| Context window | 131,072 tokens | 200,000 tokens (best) |
| Max output | 16,384 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | mistral-large-2411 | sonar-pro |
| API providers | 2 | 5 (best) |
| Released | Nov 18, 2024 | Jan 1, 2024 |
| Knowledge cutoff | Nov 2024 | Sep 1, 2025 |
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
- Sonar Pro$60.00
Which should you choose?
Which is better: Mistral Large 2.1 or Sonar Pro?
Mistral Large 2.1 is the better all-round choice, scoring 26/100 against Sonar Pro (20). It leads on price. Sonar Pro wins on 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 Large 2.1 or Sonar Pro?
Mistral Large 2.1 is cheaper at $2.00 input / $6.00 output per million tokens (official Mistral API price). Sonar Pro costs $3.00 input / $15.00 output per million tokens (official Perplexity API price). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Mistral Large 2.1 versus $6.00 for Sonar Pro (2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mistral Large 2.1 has an ECI of 128.5 and Sonar Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large 2.1 and Sonar Pro yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Sonar Pro does not support tool calling, which most coding agents need.
Which has the bigger context window?
Sonar Pro has the largest context window at 200,000 tokens, against 131,072 for Mistral Large 2.1. Maximum output per response: Mistral Large 2.1 up to 16,384, Sonar Pro up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Mistral Large 2.1 accepts text; Sonar Pro accepts text and images. Sonar 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; Sonar Pro is proprietary.
Which is newer?
Mistral Large 2.1 is the newest, released Nov 18, 2024. Sonar Pro came out Jan 1, 2024. Knowledge cutoff: Mistral Large 2.1 Nov 2024, Sonar Pro Sep 1, 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.
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