Pixtral 12B vs Gemini 2.5 Pro
Pixtral 12B comes out ahead, 64 to 54 on our weighted score, and it is the cheaper option too.
- Our pick
Mistral AIPixtral 12B
64/100- ECI—
- Price$0.15 / $0.15
- Context128K
GoogleGemini 2.5 Pro
54/100- ECI145.3
- Price$1.25 / $10.00
- Context1.05M
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 Gemini 2.5 Pro (54). It leads on price. Gemini 2.5 Pro wins 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 pricePixtral 12BPixtral 12B $0.15 · Gemini 2.5 Pro $3.44 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · Pixtral 12B 128,000 tokens
- Widest inputsGemini 2.5 ProPixtral 12B: Text, Images · Gemini 2.5 Pro: Text, Images, PDFs, Audio, Video
- Self-hostingPixtral 12BPublishes downloadable weights
| Measure | Weight | Pixtral 12B | Gemini 2.5 Pro |
|---|---|---|---|
| Price | 50% | 89 | 24 |
| Inputs & features | 30% | 50 | 100 |
| Context window | 20% | 24 | 61 |
| Overall | 100% | 64/100 | 54/100 |
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 | Gemini 2.5 ProGoogle |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 145.3 |
| ECI rank | — | #78 of 148 |
| GPQA DiamondGraduate-level science questions | — | 85.3% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 24.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 84.7% |
| SWE-bench VerifiedFixing real GitHub issues | — | 57.6% |
| Price per million tokens | ||
| Input | $0.15 (best) | $1.25 |
| Output | $0.15 (best) | $10.00 |
| Cached input | — | $0.125 |
| Blended (3:1) | $0.15 (best) | $3.44 |
| Long-context rate | Same rate | Over 200K: $2.50 / $15.00 |
| Price source | Official Mistral API | Official Google API |
| Limits | ||
| Context window | 128,000 tokens | 1,048,576 tokens (best) |
| Max output | 128,000 tokens (best) | 65,536 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | Yes |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | pixtral-12b | gemini-2.5-pro |
| API providers | 4 | 22 (best) |
| Released | Sep 1, 2024 | Jun 17, 2025 |
| Knowledge cutoff | Sep 2024 | Jan 2025 |
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
- Gemini 2.5 Pro$32.50
Which should you choose?
Which is better: Pixtral 12B or Gemini 2.5 Pro?
Pixtral 12B is the better all-round choice, scoring 64/100 against Gemini 2.5 Pro (54). It leads on price. Gemini 2.5 Pro wins 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 Gemini 2.5 Pro?
Pixtral 12B is cheaper at $0.15 input / $0.15 output per million tokens (official Mistral API price). Gemini 2.5 Pro costs $1.25 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Pixtral 12B versus $3.44 for Gemini 2.5 Pro (23× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Pixtral 12B has not been scored yet and Gemini 2.5 Pro has an ECI of 145.3.
Which is better for coding?
There are no published SWE-bench Verified results for Pixtral 12B 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?
Gemini 2.5 Pro has the largest context window at 1,048,576 tokens, against 128,000 for Pixtral 12B. Maximum output per response: Pixtral 12B up to 128,000, Gemini 2.5 Pro up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Pixtral 12B accepts text and images; Gemini 2.5 Pro accepts text, images, PDFs, audio and video. Gemini 2.5 Pro handles the widest range of inputs.
Are any of these open source?
Pixtral 12B publishes its weights and can be self-hosted; Gemini 2.5 Pro is proprietary.
Which is newer?
Gemini 2.5 Pro is the newest, released Jun 17, 2025. Pixtral 12B came out Sep 1, 2024. Knowledge cutoff: Pixtral 12B Sep 2024, Gemini 2.5 Pro Jan 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.
