Gemma 4 31B IT vs MiniMax-M3 vs Qwen3.7 Plus
Too close to call on our weighted score (Qwen3.7 Plus 70, MiniMax-M3 69, Gemma 4 31B IT 69). The right pick depends on what you value most.
Google
Gemma 4 31B IT
69/100- ECI142.8
- Price$0.14 / $0.40
- Context262K
MiniMax
MiniMax-M3
69/100- ECI147.0
- Price$0.30 / $1.20
- Context1.05M
Alibaba (Qwen)
Qwen3.7 Plus
70/100- ECI147.4
- Price$0.40 / $1.60
- Context1M
Too close to call
It is close. Our weighted score puts them within a point (Qwen3.7 Plus 70/100, MiniMax-M3 69/100, Gemma 4 31B IT 69/100), so choose by what matters most for your work: Qwen3.7 Plus for raw capability, Gemma 4 31B IT on price and MiniMax-M3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3.7 PlusCapabilities Index (ECI): Qwen3.7 Plus 147.4 · MiniMax-M3 147.0 · Gemma 4 31B IT 142.8
- Lowest priceGemma 4 31B ITGemma 4 31B IT $0.205 · MiniMax-M3 $0.525 · Qwen3.7 Plus $0.70 per 1M tokens (3:1 blend)
- Longest contextMiniMax-M3MiniMax-M3 1,048,576 · Qwen3.7 Plus 1,000,000 · Gemma 4 31B IT 262,144 tokens
- Widest inputsMiniMax-M3 and Qwen3.7 PlusGemma 4 31B IT: Text, Images · MiniMax-M3: Text, Images, Video · Qwen3.7 Plus: Text, Images, Video
- Self-hostingGemma 4 31B IT and MiniMax-M3Publishes downloadable weights
| Measure | Weight | Gemma 4 31B IT | MiniMax-M3 | Qwen3.7 Plus |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 69 | 74 | 75 |
| Price | 25% | 83 | 63 | 57 |
| Inputs & features | 15% | 70 | 70 | 80 |
| Context window | 10% | 37 | 61 | 60 |
| Overall | 100% | 69/100 | 69/100 | 70/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 142.8 | 147.0 | 147.4 (best) |
| ECI rank | #86 of 148 | #62 of 148 | #61 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 75.8% | 90.9% (best) | 87.9% |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 34.4% |
| OTIS Mock AIME 2024–2025Competition mathematics | 73.3% | 71.1% | 93.3% (best) |
| SimpleQA VerifiedShort factual questions | 10.4% | — | — |
| Price per million tokens | |||
| Input | $0.14 (best) | $0.30 | $0.40 |
| Output | $0.40 (best) | $1.20 | $1.60 |
| Cached input | — | $0.06 | $0.04 (best) |
| Blended (3:1) | $0.205 (best) | $0.525 | $0.70 |
| Long-context rate | Same rate | Over 512K: $0.60 / $2.40 | Over 256K: $1.20 / $4.80 |
| Price source | Median of 30 providers | Official MiniMax (minimax.io) API | Official Alibaba API |
| Limits | |||
| Context window | 262,144 tokens | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 32,768 tokens | 512,000 tokens (best) | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | gemma-4-31b-it | MiniMax-M3 | qwen3.7-plus |
| API providers | 38 | 42 (best) | 25 |
| Released | Apr 2, 2026 | Jun 1, 2026 | Jun 2, 2026 |
| Knowledge cutoff | — | — | Apr 2025 |
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-M3$5.40
Qwen3.7 Plus$7.20
Which should you choose?
Which is better: Gemma 4 31B IT, MiniMax-M3 or Qwen3.7 Plus?
It is close. Our weighted score puts them within a point (Qwen3.7 Plus 70/100, MiniMax-M3 69/100, Gemma 4 31B IT 69/100), so choose by what matters most for your work: Qwen3.7 Plus for raw capability, Gemma 4 31B IT on price and MiniMax-M3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemma 4 31B IT, MiniMax-M3 or Qwen3.7 Plus?
Gemma 4 31B IT is cheaper at $0.14 input / $0.40 output per million tokens (median across 30 API providers). MiniMax-M3 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price); Qwen3.7 Plus costs $0.40 input / $1.60 output per million tokens (official Alibaba 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-M3 (2.6× as much) and $0.70 for Qwen3.7 Plus (3.4× as much).
Which scores higher on benchmarks?
Qwen3.7 Plus scores higher on the Capabilities Index (ECI): Qwen3.7 Plus 147.4 (#61 of 148), MiniMax-M3 147.0 (#62 of 148) and Gemma 4 31B IT 142.8 (#86 of 148). The confidence ranges of the top two overlap (145.7–148.9 vs 142.7–149.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — MiniMax-M3 90.9%, Qwen3.7 Plus 87.9%, Gemma 4 31B IT 75.8%; OTIS Mock AIME 2024–2025 — Qwen3.7 Plus 93.3%, Gemma 4 31B IT 73.3%, MiniMax-M3 71.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 4 31B IT, MiniMax-M3 and Qwen3.7 Plus yet, so there is no like-for-like coding score. On overall capability, Qwen3.7 Plus 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?
MiniMax-M3 has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.7 Plus and 262,144 for Gemma 4 31B IT. Maximum output per response: Gemma 4 31B IT up to 32,768, MiniMax-M3 up to 512,000, Qwen3.7 Plus up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Gemma 4 31B IT accepts text and images; MiniMax-M3 accepts text, images and video; Qwen3.7 Plus accepts text, images and video. MiniMax-M3 handles the widest range of inputs.
Are any of these open source?
Gemma 4 31B IT and MiniMax-M3 publishes its weights and can be self-hosted; Qwen3.7 Plus is proprietary.
Which is newer?
Qwen3.7 Plus is the newest, released Jun 2, 2026. MiniMax-M3 came out Jun 1, 2026; Gemma 4 31B IT came out Apr 2, 2026. Knowledge cutoff: Qwen3.7 Plus Apr 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.