Gemini 2.5 Flash-Lite vs Gemma 2 27B vs Mistral Large
Gemini 2.5 Flash-Lite comes out ahead, 83 to 45 and 28 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
- Google
Gemma 2 27B
28/100- ECI122.1
- Price$0.65 / $0.65
- Context8K
Mistral AIMistral Large
45/100- ECI122.0
- Price$0.50 / $1.50
- Context128K
Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Mistral Large (45) and Gemma 2 27B (28). 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 · Gemma 2 27B $0.65 · 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 · Gemma 2 27B 8,192 tokens
- Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Gemma 2 27B: Text · Mistral Large: Text, PDFs
- Self-hostingGemma 2 27BPublishes downloadable weights
| Measure | Weight | Gemini 2.5 Flash-Lite | Gemma 2 27B | Mistral Large |
|---|---|---|---|---|
| Price | 50% | 82 | 56 | 53 |
| Inputs & features | 30% | 100 | 0 | 45 |
| Context window | 20% | 61 | 0 | 24 |
| Overall | 100% | 83/100 | 28/100 | 45/100 |
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 | Gemma 2 27BGoogle | Mistral LargeMistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 122.1 (best) | 122.0 |
| ECI rank | — | #152 of 165 (best) | #153 of 165 |
| GPQA DiamondGraduate-level science questions | — | 36.5% | 38.8% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 1.4% | 1.9% (best) |
| Price per million tokens | |||
| Input | $0.10 (best) | $0.65 | $0.50 |
| Output | $0.40 (best) | $0.65 | $1.50 |
| Cached input | $0.01 (best) | — | $0.05 |
| Blended (3:1) | $0.175 (best) | $0.65 | $0.75 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Google API | Median of 3 providers | Official Mistral API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 8,192 tokens | 128,000 tokens |
| Max output | 65,536 tokens | 2,048 tokens | 102,400 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | Yes | No | Yes |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | No | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | gemini-2.5-flash-lite | — | mistral-large-latest |
| API providers | 24 (best) | 3 | 11 |
| Released | Jun 17, 2025 | Jul 13, 2024 | Feb 26, 2024 |
| Knowledge cutoff | Jan 2025 | Jun 30, 2024 | Nov 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.
- Gemini 2.5 Flash-Lite$1.80
- Gemma 2 27B$7.80
- Mistral Large$8.00
Which should you choose?
Which is better: Gemini 2.5 Flash-Lite, Gemma 2 27B or Mistral Large?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 83/100 against Mistral Large (45) and Gemma 2 27B (28). 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, Gemma 2 27B or Mistral Large?
Gemini 2.5 Flash-Lite is cheaper at $0.10 input / $0.40 output per million tokens (official Google 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 $0.175 per million tokens for Gemini 2.5 Flash-Lite versus $0.65 for Gemma 2 27B (3.7× 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, Gemma 2 27B has an ECI of 122.1 and Mistral Large has an ECI of 122.0.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.5 Flash-Lite, Gemma 2 27B and Mistral Large 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?
Gemini 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 128,000 for Mistral Large and 8,192 for Gemma 2 27B. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, Gemma 2 27B up to 2,048, Mistral Large up to 102,400 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; Gemma 2 27B accepts text; Mistral Large accepts text and PDFs. Gemini 2.5 Flash-Lite handles the widest range of inputs.
Are any of these open source?
Gemma 2 27B publishes its weights and can be self-hosted; Gemini 2.5 Flash-Lite and Mistral Large is proprietary.
Which is newer?
Gemini 2.5 Flash-Lite is the newest, released Jun 17, 2025. Gemma 2 27B came out Jul 13, 2024; Mistral Large came out Feb 26, 2024. Knowledge cutoff: Gemini 2.5 Flash-Lite Jan 2025, Gemma 2 27B Jun 30, 2024, Mistral Large Nov 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.
