Pixtral 12B vs solar-mini
Pixtral 12B comes out ahead, 64 to 52 on our weighted score.
- Our pick
Mistral AIPixtral 12B
64/100- ECI—
- Price$0.15 / $0.15
- Context128K
Upstage
solar-mini
52/100- ECI—
- Price$0.15 / $0.15
- Context33K
Add a model
Make it a three-way comparison.
Pixtral 12B is our pick
Pixtral 12B is the better all-round choice, scoring 64/100 against solar-mini (52). 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 pricePixtral 12B $0.15 · solar-mini $0.15 per 1M tokens (3:1 blend)
- Longest contextPixtral 12BPixtral 12B 128,000 · solar-mini 32,768 tokens
- Widest inputsPixtral 12BPixtral 12B: Text, Images · solar-mini: Text
- Self-hostingPixtral 12BPublishes downloadable weights
| Measure | Weight | Pixtral 12B | solar-mini |
|---|---|---|---|
| Price | 50% | 89 | 89 |
| Inputs & features | 30% | 50 | 25 |
| Context window | 20% | 24 | 0 |
| Overall | 100% | 64/100 | 52/100 |
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 | Pixtral 12BMistral AI | solar-miniUpstage |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.15 | $0.15 |
| Output | $0.15 | $0.15 |
| Cached input | — | — |
| Blended (3:1) | $0.15 | $0.15 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Upstage API |
| Limits | ||
| Context window | 128,000 tokens (best) | 32,768 tokens |
| Max output | 128,000 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | pixtral-12b | solar-mini |
| API providers | 4 (best) | 1 |
| Released | Sep 1, 2024 | Jun 12, 2024 |
| Knowledge cutoff | Sep 2024 | Sep 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Pixtral 12B$1.80
- solar-mini$1.80
Which should you choose?
Which is better: Pixtral 12B or solar-mini?
Pixtral 12B is the better all-round choice, scoring 64/100 against solar-mini (52). 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, Pixtral 12B or solar-mini?
Pixtral 12B and solar-mini cost the same: $0.15 input / $0.15 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Pixtral 12B has not been scored yet and solar-mini has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Pixtral 12B and solar-mini 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?
Pixtral 12B has the largest context window at 128,000 tokens, against 32,768 for solar-mini. Maximum output per response: Pixtral 12B up to 128,000, solar-mini up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Pixtral 12B accepts text and images; solar-mini accepts text. Pixtral 12B handles the widest range of inputs.
Are any of these open source?
Pixtral 12B publishes its weights and can be self-hosted; solar-mini is proprietary.
Which is newer?
Pixtral 12B is the newest, released Sep 1, 2024. solar-mini came out Jun 12, 2024. Knowledge cutoff: Pixtral 12B Sep 2024, solar-mini Sep 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.
