Mistral Large vs Solar Pro 2 vs Gemma 2 27B
Solar Pro 2 comes out ahead, 51 to 45 and 28 on our weighted score, and it is the cheaper option too.
Mistral AIMistral Large
45/100- ECI122.0
- Price$0.50 / $1.50
- Context128K
- Our pick
UpstageSolar Pro 2
51/100- ECI—
- Price$0.25 / $0.25
- Context66K
GoogleGemma 2 27B
28/100- ECI122.1
- Price$0.65 / $0.65
- Context8K
Solar Pro 2 is our pick
Solar Pro 2 is the better all-round choice, scoring 51/100 against Mistral Large (45) and Gemma 2 27B (28). It leads on price. Mistral Large 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 priceSolar Pro 2Solar Pro 2 $0.25 · Gemma 2 27B $0.65 · Mistral Large $0.75 per 1M tokens (3:1 blend)
- Longest contextMistral LargeMistral Large 128,000 · Solar Pro 2 65,536 · Gemma 2 27B 8,192 tokens
- Widest inputsMistral LargeMistral Large: Text, PDFs · Solar Pro 2: Text · Gemma 2 27B: Text
- Self-hostingGemma 2 27BPublishes downloadable weights
| Measure | Weight | Mistral Large | Solar Pro 2 | Gemma 2 27B |
|---|---|---|---|---|
| Price | 50% | 53 | 75 | 56 |
| Inputs & features | 30% | 45 | 35 | 0 |
| Context window | 20% | 24 | 12 | 0 |
| Overall | 100% | 45/100 | 51/100 | 28/100 |
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 LargeMistral AI | Solar Pro 2Upstage | Gemma 2 27BGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 122.0 | — | 122.1 (best) |
| ECI rank | #153 of 165 | — | #152 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 38.8% (best) | — | 36.5% |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.9% (best) | — | 1.4% |
| Price per million tokens | |||
| Input | $0.50 | $0.25 (best) | $0.65 |
| Output | $1.50 | $0.25 (best) | $0.65 |
| Cached input | $0.05 | — | — |
| Blended (3:1) | $0.75 | $0.25 (best) | $0.65 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Upstage API | Median of 3 providers |
| Limits | |||
| Context window | 128,000 tokens (best) | 65,536 tokens | 8,192 tokens |
| Max output | 102,400 tokens (best) | 8,192 tokens | 2,048 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yesminimal · high | No |
| Tool calling | Yes | Yes | No |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | mistral-large-latest | solar-pro2 | — |
| API providers | 11 (best) | 2 | 3 |
| Released | Feb 26, 2024 | May 20, 2025 | Jul 13, 2024 |
| Knowledge cutoff | Nov 30, 2024 | Mar 2025 | Jun 30, 2024 |
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$8.00
- Solar Pro 2$3.00
- Gemma 2 27B$7.80
Which should you choose?
Which is better: Mistral Large, Solar Pro 2 or Gemma 2 27B?
Solar Pro 2 is the better all-round choice, scoring 51/100 against Mistral Large (45) and Gemma 2 27B (28). It leads on price. Mistral Large 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, Mistral Large, Solar Pro 2 or Gemma 2 27B?
Solar Pro 2 is cheaper at $0.25 input / $0.25 output per million tokens (official Upstage API price). Gemma 2 27B costs $0.65 input / $0.65 output per million tokens (median across 3 API providers); Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Solar Pro 2 versus $0.65 for Gemma 2 27B (2.6× as much) and $0.75 for Mistral Large (3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Mistral Large has an ECI of 122.0, Solar Pro 2 has not been scored yet and Gemma 2 27B has an ECI of 122.1.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large, Solar Pro 2 and Gemma 2 27B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Gemma 2 27B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Mistral Large has the largest context window at 128,000 tokens, against 65,536 for Solar Pro 2 and 8,192 for Gemma 2 27B. Maximum output per response: Mistral Large up to 102,400, Solar Pro 2 up to 8,192, Gemma 2 27B up to 2,048 tokens.
Which can read images, PDFs, audio or video?
Mistral Large accepts text and PDFs; Solar Pro 2 accepts text; Gemma 2 27B accepts text. Mistral Large handles the widest range of inputs.
Are any of these open source?
Gemma 2 27B publishes its weights and can be self-hosted; Mistral Large and Solar Pro 2 is proprietary.
Which is newer?
Solar Pro 2 is the newest, released May 20, 2025. Gemma 2 27B came out Jul 13, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Mistral Large Nov 30, 2024, Solar Pro 2 Mar 2025, Gemma 2 27B Jun 30, 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 Nov 2, 2026.
