Sonar Pro vs Mistral Large 2.1
Mistral Large 2.1 comes out ahead, 26 to 20 on our weighted score, and it is the cheaper option too.
PerplexitySonar Pro
20/100- ECI—
- Price$3.00 / $15.00
- Context200K
- Our pick
Mistral AIMistral Large 2.1
26/100- ECI128.5
- Price$2.00 / $6.00
- Context131K
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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 ProSonar Pro: Text, Images · Mistral Large 2.1: Text
- Self-hostingMistral Large 2.1Publishes downloadable weights
| Measure | Weight | Sonar Pro | Mistral Large 2.1 |
|---|---|---|---|
| Price | 50% | 13 | 27 |
| Inputs & features | 30% | 25 | 25 |
| Context window | 20% | 32 | 24 |
| Overall | 100% | 20/100 | 26/100 |
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 | Sonar ProPerplexity | Mistral Large 2.1Mistral AI |
|---|---|---|
| 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 | $3.00 | $2.00 (best) |
| Output | $15.00 | $6.00 (best) |
| Cached input | — | — |
| Blended (3:1) | $6.00 | $3.00 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Perplexity API | Official Mistral API |
| Limits | ||
| Context window | 200,000 tokens (best) | 131,072 tokens |
| Max output | 8,192 tokens | 16,384 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | sonar-pro | mistral-large-2411 |
| API providers | 5 (best) | 2 |
| Released | Jan 1, 2024 | Nov 18, 2024 |
| Knowledge cutoff | Sep 1, 2025 | Nov 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Sonar Pro$60.00
- Mistral Large 2.1$32.00
Which should you choose?
Which is better: Sonar Pro or Mistral Large 2.1?
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, Sonar Pro or Mistral Large 2.1?
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. Sonar Pro has not been scored yet and Mistral Large 2.1 has an ECI of 128.5.
Which is better for coding?
There are no published SWE-bench Verified results for Sonar Pro and Mistral Large 2.1 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: Sonar Pro up to 8,192, Mistral Large 2.1 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Sonar Pro accepts text and images; Mistral Large 2.1 accepts text. 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: Sonar Pro Sep 1, 2025, Mistral Large 2.1 Nov 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.
