Gemini 2.5 Pro Preview 06-05 vs Pixtral Large (25.02) vs Solar Pro 2
Too close to call on our weighted score (Solar Pro 2 51, Gemini 2.5 Pro Preview 06-05 48, Pixtral Large (25.02) 33). The right pick depends on what you value most.
GoogleGemini 2.5 Pro Preview 06-05
48/100- ECI—
- Price$1.22 / $9.75
- Context1.05M
Mistral AIPixtral Large (25.02)
33/100- ECI—
- Price$2.00 / $6.00
- Context128K
UpstageSolar Pro 2
51/100- ECI—
- Price$0.25 / $0.25
- Context66K
Too close to call
It is close. Our weighted score puts them within 2 points (Solar Pro 2 51/100, Gemini 2.5 Pro Preview 06-05 48/100, Pixtral Large (25.02) 33/100), so choose by what matters most for your work: Solar Pro 2 on price and Gemini 2.5 Pro Preview 06-05 for long inputs. 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 priceSolar Pro 2Solar Pro 2 $0.25 · Pixtral Large (25.02) $3.00 · Gemini 2.5 Pro Preview 06-05 $3.35 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05 1,048,576 · Pixtral Large (25.02) 128,000 · Solar Pro 2 65,536 tokens
- Widest inputsGemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05: Text, Images, PDFs, Audio · Pixtral Large (25.02): Text, Images · Solar Pro 2: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Gemini 2.5 Pro Preview 06-05 | Pixtral Large (25.02) | Solar Pro 2 |
|---|---|---|---|---|
| Price | 50% | 24 | 26 | 75 |
| Inputs & features | 30% | 80 | 50 | 35 |
| Context window | 20% | 61 | 24 | 12 |
| Overall | 100% | 48/100 | 33/100 | 51/100 |
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 | Gemini 2.5 Pro Preview 06-05Google | Pixtral Large (25.02)Mistral AI | Solar Pro 2Upstage |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.22 | $2.00 | $0.25 (best) |
| Output | $9.75 | $6.00 | $0.25 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $3.35 | $3.00 | $0.25 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 3 providers | Official Upstage API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 128,000 tokens | 65,536 tokens |
| Max output | 65,536 tokens (best) | 8,192 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | Yes | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | Yesminimal · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | — | solar-pro2 |
| API providers | 4 (best) | 3 | 2 |
| Released | Jun 5, 2025 | Apr 8, 2025 | May 20, 2025 |
| Knowledge cutoff | Jan 31, 2025 | — | Mar 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Gemini 2.5 Pro Preview 06-05$31.69
- Pixtral Large (25.02)$32.00
- Solar Pro 2$3.00
Which should you choose?
Which is better: Gemini 2.5 Pro Preview 06-05, Pixtral Large (25.02) or Solar Pro 2?
It is close. Our weighted score puts them within 2 points (Solar Pro 2 51/100, Gemini 2.5 Pro Preview 06-05 48/100, Pixtral Large (25.02) 33/100), so choose by what matters most for your work: Solar Pro 2 on price and Gemini 2.5 Pro Preview 06-05 for long inputs. 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, Gemini 2.5 Pro Preview 06-05, Pixtral Large (25.02) or Solar Pro 2?
Solar Pro 2 is cheaper at $0.25 input / $0.25 output per million tokens (official Upstage API price). Pixtral Large (25.02) costs $2.00 input / $6.00 output per million tokens (median across 3 API providers); Gemini 2.5 Pro Preview 06-05 costs $1.22 input / $9.75 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Solar Pro 2 versus $3.00 for Pixtral Large (25.02) (12× as much) and $3.35 for Gemini 2.5 Pro Preview 06-05 (13× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini 2.5 Pro Preview 06-05 has not been scored yet, Pixtral Large (25.02) has not been scored yet and Solar Pro 2 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.5 Pro Preview 06-05, Pixtral Large (25.02) and Solar Pro 2 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 2.5 Pro Preview 06-05 has the largest context window at 1,048,576 tokens, against 128,000 for Pixtral Large (25.02) and 65,536 for Solar Pro 2. Maximum output per response: Gemini 2.5 Pro Preview 06-05 up to 65,536, Pixtral Large (25.02) up to 8,192, Solar Pro 2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Pro Preview 06-05 accepts text, images, PDFs and audio; Pixtral Large (25.02) accepts text and images; Solar Pro 2 accepts text. Gemini 2.5 Pro Preview 06-05 handles the widest range of inputs.
Are any of these open source?
No. Gemini 2.5 Pro Preview 06-05, Pixtral Large (25.02) and Solar Pro 2 are proprietary and only available through APIs and apps.
Which is newer?
Gemini 2.5 Pro Preview 06-05 is the newest, released Jun 5, 2025. Solar Pro 2 came out May 20, 2025; Pixtral Large (25.02) came out Apr 8, 2025. Knowledge cutoff: Gemini 2.5 Pro Preview 06-05 Jan 31, 2025, Solar Pro 2 Mar 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 Nov 2, 2026.
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