Qwen3.7 Flash vs MiniMax-M2.7
Qwen3.7 Flash comes out ahead, 79 to 61 on our weighted score, and it is the cheaper option too.
- Our pick
Alibaba (Qwen)
Qwen3.7 Flash
79/100- ECI144.6
- Price$0.03 / $0.13
- Context1M
MiniMax
MiniMax-M2.7
61/100- ECI145.9
- Price$0.30 / $1.20
- Context205K
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Make it a three-way comparison.
Qwen3.7 Flash is our pick
Qwen3.7 Flash is the better all-round choice, scoring 79/100 against MiniMax-M2.7 (61). It leads on price, inputs & features and context window. MiniMax-M2.7 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMiniMax-M2.7Capabilities Index (ECI): MiniMax-M2.7 145.9 · Qwen3.7 Flash 144.6
- Lowest priceQwen3.7 FlashQwen3.7 Flash $0.055 · MiniMax-M2.7 $0.525 per 1M tokens (3:1 blend)
- Longest contextQwen3.7 FlashQwen3.7 Flash 1,000,000 · MiniMax-M2.7 204,800 tokens
- Widest inputsQwen3.7 FlashQwen3.7 Flash: Text, Images, Video · MiniMax-M2.7: Text
- Self-hostingMiniMax-M2.7Publishes downloadable weights
| Measure | Weight | Qwen3.7 Flash | MiniMax-M2.7 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 71 | 73 |
| Price | 25% | 100 | 63 |
| Inputs & features | 15% | 80 | 35 |
| Context window | 10% | 60 | 32 |
| Overall | 100% | 79/100 | 61/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 144.6 | 145.9 (best) |
| ECI rank | #80 of 148 | #73 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 82.3% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 19.3% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 86.7% | — |
| Price per million tokens | ||
| Input | $0.03 (best) | $0.30 |
| Output | $0.13 (best) | $1.20 |
| Cached input | $0.003 (best) | $0.06 |
| Blended (3:1) | $0.055 (best) | $0.525 |
| Long-context rate | Over 32K: $0.10 / $0.40 | Same rate |
| Price source | Official Alibaba API | Official MiniMax (minimax.io) API |
| Limits | ||
| Context window | 1,000,000 tokens (best) | 204,800 tokens |
| Max output | 131,072 tokens | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | qwen3.7-flash | MiniMax-M2.7 |
| API providers | 12 | 29 (best) |
| Released | Jul 15, 2026 | Mar 18, 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.
Qwen3.7 Flash$0.56
MiniMax-M2.7$5.40
Which should you choose?
Which is better: Qwen3.7 Flash or MiniMax-M2.7?
Qwen3.7 Flash is the better all-round choice, scoring 79/100 against MiniMax-M2.7 (61). It leads on price, inputs & features and context window. MiniMax-M2.7 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Qwen3.7 Flash or MiniMax-M2.7?
Qwen3.7 Flash is cheaper at $0.03 input / $0.13 output per million tokens (official Alibaba API price). MiniMax-M2.7 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 $0.055 per million tokens for Qwen3.7 Flash versus $0.525 for MiniMax-M2.7 (9.5× as much).
Which scores higher on benchmarks?
MiniMax-M2.7 scores higher on the Capabilities Index (ECI): MiniMax-M2.7 145.9 (#73 of 148) and Qwen3.7 Flash 144.6 (#80 of 148). The confidence ranges of the top two overlap (138.2–148.0 vs 142.4–147.6), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.7 Flash and MiniMax-M2.7 yet, so there is no like-for-like coding score. On overall capability, MiniMax-M2.7 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Qwen3.7 Flash has the largest context window at 1,000,000 tokens, against 204,800 for MiniMax-M2.7. Maximum output per response: Qwen3.7 Flash up to 131,072, MiniMax-M2.7 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Qwen3.7 Flash accepts text, images and video; MiniMax-M2.7 accepts text. Qwen3.7 Flash handles the widest range of inputs.
Are any of these open source?
MiniMax-M2.7 publishes its weights and can be self-hosted; Qwen3.7 Flash is proprietary.
Which is newer?
Qwen3.7 Flash is the newest, released Jul 15, 2026. MiniMax-M2.7 came out Mar 18, 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.