Qwen3.5 122B-A10B vs Gemma 4 31B IT vs MiniMax-M2.5-highspeed
Gemma 4 31B IT comes out ahead, 70 to 58 and 41 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)Qwen3.5 122B-A10B
58/100- ECI—
- Price$0.40 / $3.20
- Context262K
- Our pick
GoogleGemma 4 31B IT
70/100- ECI142.8
- Price$0.14 / $0.40
- Context262K
MiniMaxMiniMax-M2.5-highspeed
41/100- ECI—
- Price$0.60 / $2.40
- Context205K
Gemma 4 31B IT is our pick
Gemma 4 31B IT is the better all-round choice, scoring 70/100 against Qwen3.5 122B-A10B (58) and MiniMax-M2.5-highspeed (41). It leads on price. Qwen3.5 122B-A10B wins on inputs & features. 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 priceGemma 4 31B ITGemma 4 31B IT $0.205 · MiniMax-M2.5-highspeed $1.05 · Qwen3.5 122B-A10B $1.10 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 122B-A10B and Gemma 4 31B ITQwen3.5 122B-A10B 262,144 · Gemma 4 31B IT 262,144 · MiniMax-M2.5-highspeed 204,800 tokens
- Widest inputsQwen3.5 122B-A10BQwen3.5 122B-A10B: Text, Images, Audio, Video · Gemma 4 31B IT: Text, Images · MiniMax-M2.5-highspeed: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3.5 122B-A10B | Gemma 4 31B IT | MiniMax-M2.5-highspeed |
|---|---|---|---|---|
| Price | 50% | 48 | 83 | 49 |
| Inputs & features | 30% | 90 | 70 | 35 |
| Context window | 20% | 37 | 37 | 32 |
| Overall | 100% | 58/100 | 70/100 | 41/100 |
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 | Qwen3.5 122B-A10BAlibaba (Qwen) | Gemma 4 31B ITGoogle | MiniMax-M2.5-highspeedMiniMax |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 142.8 | — |
| ECI rank | — | #86 of 148 | — |
| 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 | $0.40 | $0.14 (best) | $0.60 |
| Output | $3.20 | $0.40 (best) | $2.40 |
| Cached input | — | — | $0.06 |
| Blended (3:1) | $1.10 | $0.205 (best) | $1.05 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 30 providers | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 262,144 tokens (best) | 262,144 tokens (best) | 204,800 tokens |
| Max output | 65,536 tokens | 32,768 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | qwen3.5-122b-a10b | gemma-4-31b-it | MiniMax-M2.5-highspeed |
| API providers | 19 | 38 (best) | 7 |
| Released | Feb 23, 2026 | Apr 2, 2026 | Feb 13, 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.
- Qwen3.5 122B-A10B$10.40
- Gemma 4 31B IT$2.20
- MiniMax-M2.5-highspeed$10.80
Which should you choose?
Which is better: Qwen3.5 122B-A10B, Gemma 4 31B IT or MiniMax-M2.5-highspeed?
Gemma 4 31B IT is the better all-round choice, scoring 70/100 against Qwen3.5 122B-A10B (58) and MiniMax-M2.5-highspeed (41). It leads on price. Qwen3.5 122B-A10B wins on inputs & features. 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, Qwen3.5 122B-A10B, Gemma 4 31B IT or MiniMax-M2.5-highspeed?
Gemma 4 31B IT is cheaper at $0.14 input / $0.40 output per million tokens (median across 30 API providers). MiniMax-M2.5-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price); Qwen3.5 122B-A10B costs $0.40 input / $3.20 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 $1.05 for MiniMax-M2.5-highspeed (5.1× as much) and $1.10 for Qwen3.5 122B-A10B (5.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3.5 122B-A10B has not been scored yet, Gemma 4 31B IT has an ECI of 142.8 and MiniMax-M2.5-highspeed has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.5 122B-A10B, Gemma 4 31B IT and MiniMax-M2.5-highspeed 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?
Qwen3.5 122B-A10B and Gemma 4 31B IT have the largest context windows (262,144 and 262,144 tokens), against 204,800 for MiniMax-M2.5-highspeed. Maximum output per response: Qwen3.5 122B-A10B up to 65,536, Gemma 4 31B IT up to 32,768, MiniMax-M2.5-highspeed up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Qwen3.5 122B-A10B accepts text, images, audio and video; Gemma 4 31B IT accepts text and images; MiniMax-M2.5-highspeed accepts text. Qwen3.5 122B-A10B handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Gemma 4 31B IT is the newest, released Apr 2, 2026. Qwen3.5 122B-A10B came out Feb 23, 2026; MiniMax-M2.5-highspeed came out Feb 13, 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.
