Gemma 4 31B IT vs MiniMax-M3 vs Qwen3.5 Flash
Qwen3.5 Flash comes out ahead, 75 to 69 and 69 on our weighted score, and it is the cheaper option too.
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
- Our pick
Alibaba (Qwen)
Qwen3.5 Flash
75/100- ECI144.0
- Price$0.10 / $0.40
- Context1M
Qwen3.5 Flash is our pick
Qwen3.5 Flash is the better all-round choice, scoring 75/100 against MiniMax-M3 (69) and Gemma 4 31B IT (69). It leads on price and inputs & features. MiniMax-M3 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMiniMax-M3Capabilities Index (ECI): MiniMax-M3 147.0 · Qwen3.5 Flash 144.0 · Gemma 4 31B IT 142.8
- Lowest priceQwen3.5 FlashQwen3.5 Flash $0.175 · Gemma 4 31B IT $0.205 · MiniMax-M3 $0.525 per 1M tokens (3:1 blend)
- Longest contextMiniMax-M3MiniMax-M3 1,048,576 · Qwen3.5 Flash 1,000,000 · Gemma 4 31B IT 262,144 tokens
- Widest inputsMiniMax-M3 and Qwen3.5 FlashGemma 4 31B IT: Text, Images · MiniMax-M3: Text, Images, Video · Qwen3.5 Flash: Text, Images, Video
- Self-hostingGemma 4 31B IT and MiniMax-M3Publishes downloadable weights
| Measure | Weight | Gemma 4 31B IT | MiniMax-M3 | Qwen3.5 Flash |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 69 | 74 | 71 |
| Price | 25% | 83 | 63 | 86 |
| Inputs & features | 15% | 70 | 70 | 80 |
| Context window | 10% | 37 | 61 | 60 |
| Overall | 100% | 69/100 | 69/100 | 75/100 |
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 (best) | 144.0 |
| ECI rank | #86 of 148 | #62 of 148 (best) | #82 of 148 |
| GPQA DiamondGraduate-level science questions | 75.8% | 90.9% (best) | 82.3% |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 18.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | 73.3% | 71.1% | 84.4% (best) |
| SimpleQA VerifiedShort factual questions | 10.4% | — | 20.3% (best) |
| Price per million tokens | |||
| Input | $0.14 | $0.30 | $0.10 (best) |
| Output | $0.40 (best) | $1.20 | $0.40 (best) |
| Cached input | — | $0.06 | $0.01 (best) |
| Blended (3:1) | $0.205 | $0.525 | $0.175 (best) |
| Long-context rate | Same rate | Over 512K: $0.60 / $2.40 | Same rate |
| 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) | 65,536 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 | qwen3.5-flash |
| API providers | 38 | 42 (best) | 8 |
| Released | Apr 2, 2026 | Jun 1, 2026 | Feb 23, 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-M3$5.40
Qwen3.5 Flash$1.80
Which should you choose?
Which is better: Gemma 4 31B IT, MiniMax-M3 or Qwen3.5 Flash?
Qwen3.5 Flash is the better all-round choice, scoring 75/100 against MiniMax-M3 (69) and Gemma 4 31B IT (69). It leads on price and inputs & features. MiniMax-M3 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemma 4 31B IT, MiniMax-M3 or Qwen3.5 Flash?
Qwen3.5 Flash is cheaper at $0.10 input / $0.40 output per million tokens (official Alibaba API price). Gemma 4 31B IT costs $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). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Qwen3.5 Flash versus $0.205 for Gemma 4 31B IT (1.2× as much) and $0.525 for MiniMax-M3 (3× as much).
Which scores higher on benchmarks?
MiniMax-M3 scores higher on the Capabilities Index (ECI): MiniMax-M3 147.0 (#62 of 148), Qwen3.5 Flash 144.0 (#82 of 148) and Gemma 4 31B IT 142.8 (#86 of 148). The confidence ranges of the top two overlap (142.7–149.8 vs 141.6–145.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — MiniMax-M3 90.9%, Qwen3.5 Flash 82.3%, Gemma 4 31B IT 75.8%; OTIS Mock AIME 2024–2025 — Qwen3.5 Flash 84.4%, 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 Qwen3.5 Flash yet, so there is no like-for-like coding score. On overall capability, MiniMax-M3 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 Qwen3.5 Flash 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, Qwen3.5 Flash up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Gemma 4 31B IT accepts text and images; MiniMax-M3 accepts text, images and video; Qwen3.5 Flash 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; Qwen3.5 Flash is proprietary.
Which is newer?
MiniMax-M3 is the newest, released Jun 1, 2026. Gemma 4 31B IT came out Apr 2, 2026; Qwen3.5 Flash came out Feb 23, 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.