Mistral Small 3.2 vs MiniMax-M2.7 vs Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite comes out ahead, 71 to 61 and 60 on our weighted score, though Mistral Small 3.2 is 14% cheaper per token.
Mistral AI
Mistral Small 3.2
60/100- ECI131.7
- Price$0.10 / $0.30
- Context128K
MiniMax
MiniMax-M2.7
61/100- ECI145.9
- Price$0.30 / $1.20
- Context205K
- Our pick
Google
Gemini 2.5 Flash-Lite
71/100- ECI133.9
- 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 71/100 against MiniMax-M2.7 (61) and Mistral Small 3.2 (60). It leads on inputs & features and context window. Mistral Small 3.2 wins on price. MiniMax-M2.7 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMiniMax-M2.7Capabilities Index (ECI): MiniMax-M2.7 145.9 · Gemini 2.5 Flash-Lite 133.9 · Mistral Small 3.2 131.7
- Lowest priceMistral Small 3.2Mistral Small 3.2 $0.15 · Gemini 2.5 Flash-Lite $0.175 · MiniMax-M2.7 $0.525 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · MiniMax-M2.7 204,800 · Mistral Small 3.2 128,000 tokens
- Widest inputsGemini 2.5 Flash-LiteMistral Small 3.2: Text, Images · MiniMax-M2.7: Text · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video
- Self-hostingMistral Small 3.2 and MiniMax-M2.7Publishes downloadable weights
| Measure | Weight | Mistral Small 3.2 | MiniMax-M2.7 | Gemini 2.5 Flash-Lite |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 55 | 73 | 58 |
| Price | 25% | 89 | 63 | 86 |
| Inputs & features | 15% | 50 | 35 | 100 |
| Context window | 10% | 24 | 32 | 61 |
| Overall | 100% | 60/100 | 61/100 | 71/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 131.7 | 145.9 (best) | 133.9 |
| ECI rank | #123 of 148 | #73 of 148 (best) | #118 of 148 |
| GPQA DiamondGraduate-level science questions | 49.1% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 30.3% | — | — |
| Price per million tokens | |||
| Input | $0.10 (best) | $0.30 | $0.10 (best) |
| Output | $0.30 (best) | $1.20 | $0.40 |
| Cached input | — | $0.06 | $0.01 (best) |
| Blended (3:1) | $0.15 (best) | $0.525 | $0.175 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Official MiniMax (minimax.io) API | Official Google API |
| Limits | |||
| Context window | 128,000 tokens | 204,800 tokens | 1,048,576 tokens (best) |
| Max output | 16,384 tokens | 131,072 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | No | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | mistral-small-2506 | MiniMax-M2.7 | gemini-2.5-flash-lite |
| API providers | 6 | 29 (best) | 20 |
| Released | Jun 20, 2025 | Mar 18, 2026 | Jun 17, 2025 |
| Knowledge cutoff | Mar 2025 | — | 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.
Mistral Small 3.2$1.60
MiniMax-M2.7$5.40
Gemini 2.5 Flash-Lite$1.80
Which should you choose?
Which is better: Mistral Small 3.2, MiniMax-M2.7 or Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 71/100 against MiniMax-M2.7 (61) and Mistral Small 3.2 (60). It leads on inputs & features and context window. Mistral Small 3.2 wins on price. MiniMax-M2.7 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Small 3.2, MiniMax-M2.7 or Gemini 2.5 Flash-Lite?
Mistral Small 3.2 is cheaper at $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); MiniMax-M2.7 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Mistral Small 3.2 versus $0.175 for Gemini 2.5 Flash-Lite (1.2× as much) and $0.525 for MiniMax-M2.7 (3.5× as much).
Which scores higher on benchmarks?
MiniMax-M2.7 scores higher on the Capabilities Index (ECI): MiniMax-M2.7 145.9 (#73 of 148), Gemini 2.5 Flash-Lite 133.9 (#118 of 148) and Mistral Small 3.2 131.7 (#123 of 148). Their confidence ranges do not overlap (138.2–148.0 vs 129.8–136.3), so the gap is a real one.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Small 3.2, MiniMax-M2.7 and Gemini 2.5 Flash-Lite yet, so there is no like-for-like coding score. On overall capability, MiniMax-M2.7 leads, which tends to carry over to coding, but test on your own codebase. 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 204,800 for MiniMax-M2.7 and 128,000 for Mistral Small 3.2. Maximum output per response: Mistral Small 3.2 up to 16,384, MiniMax-M2.7 up to 131,072, Gemini 2.5 Flash-Lite up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Mistral Small 3.2 accepts text and images; MiniMax-M2.7 accepts text; 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?
Mistral Small 3.2 and MiniMax-M2.7 publishes its weights and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.
Which is newer?
MiniMax-M2.7 is the newest, released Mar 18, 2026. Mistral Small 3.2 came out Jun 20, 2025; Gemini 2.5 Flash-Lite came out Jun 17, 2025. Knowledge cutoff: Mistral Small 3.2 Mar 2025, 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 Oct 4, 2026.