MiniMax-M3 vs Qwen3.5 122B-A10B vs Qwen3.7 Plus
Too close to call on our weighted score (MiniMax-M3 65, Qwen3.7 Plus 65, Qwen3.5 122B-A10B 58). The right pick depends on what you value most.
MiniMaxMiniMax-M3
65/100- ECI147.0
- Price$0.30 / $1.20
- Context1.05M
Alibaba (Qwen)Qwen3.5 122B-A10B
58/100- ECI—
- Price$0.40 / $3.20
- Context262K
- Alibaba (Qwen)
Qwen3.7 Plus
65/100- ECI147.4
- Price$0.40 / $1.60
- Context1M
Too close to call
It is close. Our weighted score puts them within a point (MiniMax-M3 65/100, Qwen3.7 Plus 65/100, Qwen3.5 122B-A10B 58/100), so choose by what matters most for your work: MiniMax-M3 on price and MiniMax-M3 for long inputs. 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 priceMiniMax-M3MiniMax-M3 $0.525 · Qwen3.7 Plus $0.70 · Qwen3.5 122B-A10B $1.10 per 1M tokens (3:1 blend)
- Longest contextMiniMax-M3MiniMax-M3 1,048,576 · Qwen3.7 Plus 1,000,000 · Qwen3.5 122B-A10B 262,144 tokens
- Widest inputsQwen3.5 122B-A10BMiniMax-M3: Text, Images, Video · Qwen3.5 122B-A10B: Text, Images, Audio, Video · Qwen3.7 Plus: Text, Images, Video
- Self-hostingMiniMax-M3 and Qwen3.5 122B-A10BPublishes downloadable weights
| Measure | Weight | MiniMax-M3 | Qwen3.5 122B-A10B | Qwen3.7 Plus |
|---|---|---|---|---|
| Price | 50% | 63 | 48 | 57 |
| Inputs & features | 30% | 70 | 90 | 80 |
| Context window | 20% | 61 | 37 | 60 |
| Overall | 100% | 65/100 | 58/100 | 65/100 |
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 | MiniMax-M3MiniMax | Qwen3.5 122B-A10BAlibaba (Qwen) | Qwen3.7 PlusAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 147.0 | — | 147.4 (best) |
| ECI rank | #62 of 148 | — | #61 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 90.9% (best) | — | 87.9% |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 34.4% |
| OTIS Mock AIME 2024–2025Competition mathematics | 71.1% | — | 93.3% (best) |
| Price per million tokens | |||
| Input | $0.30 (best) | $0.40 | $0.40 |
| Output | $1.20 (best) | $3.20 | $1.60 |
| Cached input | $0.06 | — | $0.04 (best) |
| Blended (3:1) | $0.525 (best) | $1.10 | $0.70 |
| Long-context rate | Over 512K: $0.60 / $2.40 | Same rate | Over 256K: $1.20 / $4.80 |
| Price source | Official MiniMax (minimax.io) API | Official Alibaba API | Official Alibaba API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 262,144 tokens | 1,000,000 tokens |
| Max output | 512,000 tokens (best) | 65,536 tokens | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | Yes | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | MiniMax-M3 | qwen3.5-122b-a10b | qwen3.7-plus |
| API providers | 42 (best) | 19 | 25 |
| Released | Jun 1, 2026 | Feb 23, 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.
- MiniMax-M3$5.40
- Qwen3.5 122B-A10B$10.40
- Qwen3.7 Plus$7.20
Which should you choose?
Which is better: MiniMax-M3, Qwen3.5 122B-A10B or Qwen3.7 Plus?
It is close. Our weighted score puts them within a point (MiniMax-M3 65/100, Qwen3.7 Plus 65/100, Qwen3.5 122B-A10B 58/100), so choose by what matters most for your work: MiniMax-M3 on price and MiniMax-M3 for long inputs. 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, MiniMax-M3, Qwen3.5 122B-A10B or Qwen3.7 Plus?
MiniMax-M3 is cheaper at $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); 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 $0.525 per million tokens for MiniMax-M3 versus $0.70 for Qwen3.7 Plus (1.3× as much) and $1.10 for Qwen3.5 122B-A10B (2.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiniMax-M3 has an ECI of 147.0, Qwen3.5 122B-A10B has not been scored yet and Qwen3.7 Plus has an ECI of 147.4.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax-M3, Qwen3.5 122B-A10B and Qwen3.7 Plus 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?
MiniMax-M3 has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.7 Plus and 262,144 for Qwen3.5 122B-A10B. Maximum output per response: MiniMax-M3 up to 512,000, Qwen3.5 122B-A10B up to 65,536, Qwen3.7 Plus up to 64,000 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M3 accepts text, images and video; Qwen3.5 122B-A10B accepts text, images, audio and video; Qwen3.7 Plus accepts text, images and video. Qwen3.5 122B-A10B handles the widest range of inputs.
Are any of these open source?
MiniMax-M3 and Qwen3.5 122B-A10B 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; Qwen3.5 122B-A10B came out Feb 23, 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.
