Qwen3.7 Plus vs MiniMax-M2.5-highspeed vs MiniMax-M3
Too close to call on our weighted score (MiniMax-M3 65, Qwen3.7 Plus 65, MiniMax-M2.5-highspeed 41). The right pick depends on what you value most.
Alibaba (Qwen)Qwen3.7 Plus
65/100- ECI147.4
- Price$0.40 / $1.60
- Context1M
MiniMaxMiniMax-M2.5-highspeed
41/100- ECI—
- Price$0.60 / $2.40
- Context205K
- MiniMax
MiniMax-M3
65/100- ECI147.0
- Price$0.30 / $1.20
- Context1.05M
Too close to call
It is close. Our weighted score puts them within a point (MiniMax-M3 65/100, Qwen3.7 Plus 65/100, MiniMax-M2.5-highspeed 41/100), 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 · MiniMax-M2.5-highspeed $1.05 per 1M tokens (3:1 blend)
- Longest contextMiniMax-M3MiniMax-M3 1,048,576 · Qwen3.7 Plus 1,000,000 · MiniMax-M2.5-highspeed 204,800 tokens
- Widest inputsQwen3.7 Plus and MiniMax-M3Qwen3.7 Plus: Text, Images, Video · MiniMax-M2.5-highspeed: Text · MiniMax-M3: Text, Images, Video
- Self-hostingMiniMax-M2.5-highspeed and MiniMax-M3Publishes downloadable weights
| Measure | Weight | Qwen3.7 Plus | MiniMax-M2.5-highspeed | MiniMax-M3 |
|---|---|---|---|---|
| Price | 50% | 57 | 49 | 63 |
| Inputs & features | 30% | 80 | 35 | 70 |
| Context window | 20% | 60 | 32 | 61 |
| Overall | 100% | 65/100 | 41/100 | 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 | Qwen3.7 PlusAlibaba (Qwen) | MiniMax-M2.5-highspeedMiniMax | MiniMax-M3MiniMax |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 147.4 (best) | — | 147.0 |
| ECI rank | #61 of 148 (best) | — | #62 of 148 |
| GPQA DiamondGraduate-level science questions | 87.9% | — | 90.9% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 34.4% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 93.3% (best) | — | 71.1% |
| Price per million tokens | |||
| Input | $0.40 | $0.60 | $0.30 (best) |
| Output | $1.60 | $2.40 | $1.20 (best) |
| Cached input | $0.04 (best) | $0.06 | $0.06 |
| Blended (3:1) | $0.70 | $1.05 | $0.525 (best) |
| Long-context rate | Over 256K: $1.20 / $4.80 | Same rate | Over 512K: $0.60 / $2.40 |
| Price source | Official Alibaba API | Official MiniMax (minimax.io) API | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 1,000,000 tokens | 204,800 tokens | 1,048,576 tokens (best) |
| Max output | 64,000 tokens | 131,072 tokens | 512,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | qwen3.7-plus | MiniMax-M2.5-highspeed | MiniMax-M3 |
| API providers | 25 | 7 | 42 (best) |
| Released | Jun 2, 2026 | Feb 13, 2026 | Jun 1, 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.
- Qwen3.7 Plus$7.20
- MiniMax-M2.5-highspeed$10.80
- MiniMax-M3$5.40
Which should you choose?
Which is better: Qwen3.7 Plus, MiniMax-M2.5-highspeed or MiniMax-M3?
It is close. Our weighted score puts them within a point (MiniMax-M3 65/100, Qwen3.7 Plus 65/100, MiniMax-M2.5-highspeed 41/100), 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, Qwen3.7 Plus, MiniMax-M2.5-highspeed or MiniMax-M3?
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); MiniMax-M2.5-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for MiniMax-M3 versus $0.70 for Qwen3.7 Plus (1.3× as much) and $1.05 for MiniMax-M2.5-highspeed (2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3.7 Plus has an ECI of 147.4, MiniMax-M2.5-highspeed has not been scored yet and MiniMax-M3 has an ECI of 147.0.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.7 Plus, MiniMax-M2.5-highspeed and MiniMax-M3 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 204,800 for MiniMax-M2.5-highspeed. Maximum output per response: Qwen3.7 Plus up to 64,000, MiniMax-M2.5-highspeed up to 131,072, MiniMax-M3 up to 512,000 tokens.
Which can read images, PDFs, audio or video?
Qwen3.7 Plus accepts text, images and video; MiniMax-M2.5-highspeed accepts text; MiniMax-M3 accepts text, images and video. Qwen3.7 Plus handles the widest range of inputs.
Are any of these open source?
MiniMax-M2.5-highspeed 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; MiniMax-M2.5-highspeed came out Feb 13, 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.
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