Gemini 2.5 Flash-Lite vs Mistral Large vs Solar Pro 2
Gemini 2.5 Flash-Lite comes out ahead, 83 to 51 and 45 on our weighted score, and it is the cheaper option too.
- Our pick
GoogleGemini 2.5 Flash-Lite
83/100- ECI—
- Price$0.10 / $0.40
- Context1.05M
Mistral AIMistral Large
45/100- ECI122.0
- Price$0.50 / $1.50
- Context128K
UpstageSolar Pro 2
51/100- ECI—
- Price$0.25 / $0.25
- Context66K
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-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Mistral Large: Text, PDFs · Solar Pro 2: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Gemini 2.5 Flash-Lite | Mistral Large | Solar Pro 2 |
|---|---|---|---|---|
| Price | 50% | 82 | 53 | 75 |
| Inputs & features | 30% | 100 | 45 | 35 |
| Context window | 20% | 61 | 24 | 12 |
| Overall | 100% | 83/100 | 45/100 | 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 Flash-LiteGoogle | Mistral LargeMistral AI | Solar Pro 2Upstage |
|---|---|---|---|
| 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 | $0.10 (best) | $0.50 | $0.25 |
| Output | $0.40 | $1.50 | $0.25 (best) |
| Cached input | $0.01 (best) | $0.05 | — |
| Blended (3:1) | $0.175 (best) | $0.75 | $0.25 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Google API | Official Mistral API | Official Upstage API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 128,000 tokens | 65,536 tokens |
| Max output | 65,536 tokens | 102,400 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | Yes | Yes | No |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | No | Yesminimal · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gemini-2.5-flash-lite | mistral-large-latest | solar-pro2 |
| API providers | 24 (best) | 11 | 2 |
| Released | Jun 17, 2025 | Feb 26, 2024 | May 20, 2025 |
| Knowledge cutoff | Jan 2025 | Nov 30, 2024 | 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 Flash-Lite$1.80
- Mistral Large$8.00
- Solar Pro 2$3.00
Which should you choose?
Which is better: Gemini 2.5 Flash-Lite, Mistral Large or Solar Pro 2?
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, Gemini 2.5 Flash-Lite, Mistral Large or Solar Pro 2?
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. Gemini 2.5 Flash-Lite has not been scored yet, Mistral Large has an ECI of 122.0 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 Flash-Lite, Mistral Large 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 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: Gemini 2.5 Flash-Lite up to 65,536, Mistral Large up to 102,400, Solar Pro 2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; Mistral Large accepts text and PDFs; Solar Pro 2 accepts text. Gemini 2.5 Flash-Lite handles the widest range of inputs.
Are any of these open source?
No. Gemini 2.5 Flash-Lite, Mistral Large and Solar Pro 2 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: Gemini 2.5 Flash-Lite Jan 2025, Mistral Large Nov 30, 2024, 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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