Gemini 2.5 Flash-Lite vs Ministral 8B Instruct vs Mistral Small 3.2
Gemini 2.5 Flash-Lite comes out ahead, 85 to 64 and 57 on our weighted score, though Ministral 8B Instruct is 14% cheaper per token.
- Our pick
Google
Gemini 2.5 Flash-Lite
85/100- ECI133.9
- Price$0.10 / $0.40
- Context1.05M
Mistral AI
Ministral 8B Instruct
57/100- ECI—
- Price$0.15 / $0.15
- Context131K
Mistral AI
Mistral Small 3.2
64/100- ECI131.7
- Price$0.10 / $0.30
- Context128K
Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 85/100 against Mistral Small 3.2 (64) and Ministral 8B Instruct (57). It leads 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 priceMinistral 8B Instruct and Mistral Small 3.2Ministral 8B Instruct $0.15 · Mistral Small 3.2 $0.15 · Gemini 2.5 Flash-Lite $0.175 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Ministral 8B Instruct 131,072 · Mistral Small 3.2 128,000 tokens
- Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Ministral 8B Instruct: Text · Mistral Small 3.2: Text, Images
- Self-hostingMinistral 8B Instruct and Mistral Small 3.2Publishes downloadable weights (Mistral Research License)
| Measure | Weight | Gemini 2.5 Flash-Lite | Ministral 8B Instruct | Mistral Small 3.2 |
|---|---|---|---|---|
| Price | 50% | 86 | 89 | 89 |
| Inputs & features | 30% | 100 | 25 | 50 |
| Context window | 20% | 61 | 24 | 24 |
| Overall | 100% | 85/100 | 57/100 | 64/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 133.9 (best) | — | 131.7 |
| ECI rank | #118 of 148 (best) | — | #123 of 148 |
| GPQA DiamondGraduate-level science questions | — | 27.2% | 49.1% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | — | — | 30.3% |
| Price per million tokens | |||
| Input | $0.10 (best) | $0.15 | $0.10 (best) |
| Output | $0.40 | $0.15 (best) | $0.30 |
| Cached input | $0.01 | — | — |
| Blended (3:1) | $0.175 | $0.15 (best) | $0.15 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Google API | Median of 1 providers | Official Mistral API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 131,072 tokens | 128,000 tokens |
| Max output | 65,536 tokens (best) | 8,192 tokens | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | No |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | OpenMistral Research License | Open |
| API model ID | gemini-2.5-flash-lite | — | mistral-small-2506 |
| API providers | 20 (best) | 1 | 6 |
| Released | Jun 17, 2025 | Oct 16, 2024 | Jun 20, 2025 |
| Knowledge cutoff | Jan 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 Flash-Lite$1.80
Ministral 8B Instruct$1.80
Mistral Small 3.2$1.60
Which should you choose?
Which is better: Gemini 2.5 Flash-Lite, Ministral 8B Instruct or Mistral Small 3.2?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 85/100 against Mistral Small 3.2 (64) and Ministral 8B Instruct (57). It leads 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, Gemini 2.5 Flash-Lite, Ministral 8B Instruct or Mistral Small 3.2?
Ministral 8B Instruct is cheaper at $0.15 input / $0.15 output per million tokens (median across 1 API provider). Mistral Small 3.2 costs $0.10 input / $0.30 output per million tokens (official Mistral API price); Gemini 2.5 Flash-Lite costs $0.10 input / $0.40 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Ministral 8B Instruct versus $0.15 for Mistral Small 3.2 (1× as much) and $0.175 for Gemini 2.5 Flash-Lite (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini 2.5 Flash-Lite has an ECI of 133.9, Ministral 8B Instruct has not been scored yet and Mistral Small 3.2 has an ECI of 131.7.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.5 Flash-Lite, Ministral 8B Instruct and Mistral Small 3.2 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 131,072 for Ministral 8B Instruct and 128,000 for Mistral Small 3.2. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, Ministral 8B Instruct up to 8,192, Mistral Small 3.2 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; Ministral 8B Instruct accepts text; Mistral Small 3.2 accepts text and images. Gemini 2.5 Flash-Lite handles the widest range of inputs.
Are any of these open source?
Ministral 8B Instruct and Mistral Small 3.2 publishes its weights (Mistral Research License) and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.
Which is newer?
Mistral Small 3.2 is the newest, released Jun 20, 2025. Gemini 2.5 Flash-Lite came out Jun 17, 2025; Ministral 8B Instruct came out Oct 16, 2024. Knowledge cutoff: Gemini 2.5 Flash-Lite Jan 2025, Mistral Small 3.2 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 Oct 4, 2026.