Gemma 4 31B IT vs MiniMax-M2.7
Gemma 4 31B IT comes out ahead, 69 to 61 on our weighted score, and it is the cheaper option too.
- Our pick
Google
Gemma 4 31B IT
69/100- ECI142.8
- Price$0.14 / $0.40
- Context262K
MiniMax
MiniMax-M2.7
61/100- ECI145.9
- Price$0.30 / $1.20
- Context205K
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Make it a three-way comparison.
Gemma 4 31B IT is our pick
Gemma 4 31B IT is the better all-round choice, scoring 69/100 against MiniMax-M2.7 (61). It leads on price, inputs & features and context window. 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 · Gemma 4 31B IT 142.8
- Lowest priceGemma 4 31B ITGemma 4 31B IT $0.205 · MiniMax-M2.7 $0.525 per 1M tokens (3:1 blend)
- Longest contextGemma 4 31B ITGemma 4 31B IT 262,144 · MiniMax-M2.7 204,800 tokens
- Widest inputsGemma 4 31B ITGemma 4 31B IT: Text, Images · MiniMax-M2.7: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 4 31B IT | MiniMax-M2.7 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 69 | 73 |
| Price | 25% | 83 | 63 |
| Inputs & features | 15% | 70 | 35 |
| Context window | 10% | 37 | 32 |
| Overall | 100% | 69/100 | 61/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 142.8 | 145.9 (best) |
| ECI rank | #86 of 148 | #73 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 75.8% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 73.3% | — |
| SimpleQA VerifiedShort factual questions | 10.4% | — |
| Price per million tokens | ||
| Input | $0.14 (best) | $0.30 |
| Output | $0.40 (best) | $1.20 |
| Cached input | — | $0.06 |
| Blended (3:1) | $0.205 (best) | $0.525 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 30 providers | Official MiniMax (minimax.io) API |
| Limits | ||
| Context window | 262,144 tokens (best) | 204,800 tokens |
| Max output | 32,768 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | gemma-4-31b-it | MiniMax-M2.7 |
| API providers | 38 (best) | 29 |
| Released | Apr 2, 2026 | Mar 18, 2026 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemma 4 31B IT$2.20
MiniMax-M2.7$5.40
Which should you choose?
Which is better: Gemma 4 31B IT or MiniMax-M2.7?
Gemma 4 31B IT is the better all-round choice, scoring 69/100 against MiniMax-M2.7 (61). It leads on price, inputs & features and context window. MiniMax-M2.7 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemma 4 31B IT or MiniMax-M2.7?
Gemma 4 31B IT is cheaper at $0.14 input / $0.40 output per million tokens (median across 30 API providers). 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 $0.205 per million tokens for Gemma 4 31B IT versus $0.525 for MiniMax-M2.7 (2.6× 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) and Gemma 4 31B IT 142.8 (#86 of 148). The confidence ranges of the top two overlap (138.2–148.0 vs 140.3–144.9), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 4 31B IT and MiniMax-M2.7 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. Both support tool calling for agent workflows.
Which has the bigger context window?
Gemma 4 31B IT has the largest context window at 262,144 tokens, against 204,800 for MiniMax-M2.7. Maximum output per response: Gemma 4 31B IT up to 32,768, MiniMax-M2.7 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Gemma 4 31B IT accepts text and images; MiniMax-M2.7 accepts text. Gemma 4 31B IT handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Gemma 4 31B IT is the newest, released Apr 2, 2026. MiniMax-M2.7 came out Mar 18, 2026.
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.