Solar Pro 2 vs Mistral Large vs Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite comes out ahead, 83 to 51 and 45 on our weighted score, and it is the cheaper option too.
UpstageSolar Pro 2
51/100- ECI—
- Price$0.25 / $0.25
- Context66K
Mistral AIMistral Large
45/100- ECI122.0
- Price$0.50 / $1.50
- Context128K
- Our pick
GoogleGemini 2.5 Flash-Lite
83/100- ECI—
- Price$0.10 / $0.40
- Context1.05M
Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Solar Pro 2 (51) and Mistral Large (45). It leads on price, 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 priceGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite $0.175 · Solar Pro 2 $0.25 · Mistral Large $0.75 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Mistral Large 128,000 · Solar Pro 2 65,536 tokens
- Widest inputsGemini 2.5 Flash-LiteSolar Pro 2: Text · Mistral Large: Text, PDFs · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Solar Pro 2 | Mistral Large | Gemini 2.5 Flash-Lite |
|---|---|---|---|---|
| Price | 50% | 75 | 53 | 82 |
| Inputs & features | 30% | 35 | 45 | 100 |
| Context window | 20% | 12 | 24 | 61 |
| Overall | 100% | 51/100 | 45/100 | 83/100 |
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 | Solar Pro 2Upstage | Mistral LargeMistral AI | Gemini 2.5 Flash-LiteGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 122.0 | — |
| ECI rank | — | #153 of 165 | — |
| GPQA DiamondGraduate-level science questions | — | 38.8% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 1.9% | — |
| Price per million tokens | |||
| Input | $0.25 | $0.50 | $0.10 (best) |
| Output | $0.25 (best) | $1.50 | $0.40 |
| Cached input | — | $0.05 | $0.01 (best) |
| Blended (3:1) | $0.25 | $0.75 | $0.175 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Upstage API | Official Mistral API | Official Google API |
| Limits | |||
| Context window | 65,536 tokens | 128,000 tokens | 1,048,576 tokens (best) |
| Max output | 8,192 tokens | 102,400 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yesminimal · high | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | solar-pro2 | mistral-large-latest | gemini-2.5-flash-lite |
| API providers | 2 | 11 | 24 (best) |
| Released | May 20, 2025 | Feb 26, 2024 | Jun 17, 2025 |
| Knowledge cutoff | Mar 2025 | Nov 30, 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.
- Solar Pro 2$3.00
- Mistral Large$8.00
- Gemini 2.5 Flash-Lite$1.80
Which should you choose?
Which is better: Solar Pro 2, Mistral Large or Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Solar Pro 2 (51) and Mistral Large (45). It leads on price, 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, Solar Pro 2, Mistral Large or Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite is cheaper at $0.10 input / $0.40 output per million tokens (official Google API price). Solar Pro 2 costs $0.25 input / $0.25 output per million tokens (official Upstage API price); 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 $0.175 per million tokens for Gemini 2.5 Flash-Lite versus $0.25 for Solar Pro 2 (1.4× as much) and $0.75 for Mistral Large (4.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Solar Pro 2 has not been scored yet, Mistral Large has an ECI of 122.0 and Gemini 2.5 Flash-Lite has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Solar Pro 2, Mistral Large and Gemini 2.5 Flash-Lite 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 Flash-Lite has the largest context window at 1,048,576 tokens, against 128,000 for Mistral Large and 65,536 for Solar Pro 2. Maximum output per response: Solar Pro 2 up to 8,192, Mistral Large up to 102,400, Gemini 2.5 Flash-Lite up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Solar Pro 2 accepts text; Mistral Large accepts text and PDFs; Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video. Gemini 2.5 Flash-Lite handles the widest range of inputs.
Are any of these open source?
No. Solar Pro 2, Mistral Large and Gemini 2.5 Flash-Lite are proprietary and only available through APIs and apps.
Which is newer?
Gemini 2.5 Flash-Lite is the newest, released Jun 17, 2025. Solar Pro 2 came out May 20, 2025; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Solar Pro 2 Mar 2025, Mistral Large Nov 30, 2024, Gemini 2.5 Flash-Lite 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 Nov 2, 2026.
