Qwen3.7 Plus vs Inkling Small vs MiniMax-M3
Too close to call on our weighted score (Inkling Small 70, Qwen3.7 Plus 70, MiniMax-M3 69). The right pick depends on what you value most.
Alibaba (Qwen)
Qwen3.7 Plus
70/100- ECI147.4
- Price$0.40 / $1.60
- Context1M
Thinking Machines
Inkling Small
70/100- ECI150.2
- Price$0.50 / $1.20
- Context1.05M
MiniMax
MiniMax-M3
69/100- ECI147.0
- Price$0.30 / $1.20
- Context1.05M
Too close to call
It is close. Our weighted score puts them within a point (Inkling Small 70/100, Qwen3.7 Plus 70/100, MiniMax-M3 69/100), so choose by what matters most for your work: Inkling Small for raw capability and MiniMax-M3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityInkling SmallCapabilities Index (ECI): Inkling Small 150.2 · Qwen3.7 Plus 147.4 · MiniMax-M3 147.0
- Lowest priceMiniMax-M3MiniMax-M3 $0.525 · Inkling Small $0.675 · Qwen3.7 Plus $0.70 per 1M tokens (3:1 blend)
- Longest contextInkling Small and MiniMax-M3Inkling Small 1,048,576 · MiniMax-M3 1,048,576 · Qwen3.7 Plus 1,000,000 tokens
- Widest inputsSame inputsQwen3.7 Plus: Text, Images, Video · Inkling Small: Text, Images, Audio · MiniMax-M3: Text, Images, Video
- Self-hostingInkling Small and MiniMax-M3Publishes downloadable weights (Apache-2.0)
| Measure | Weight | Qwen3.7 Plus | Inkling Small | MiniMax-M3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 75 | 78 | 74 |
| Price | 25% | 57 | 58 | 63 |
| Inputs & features | 15% | 80 | 70 | 70 |
| Context window | 10% | 60 | 61 | 61 |
| Overall | 100% | 70/100 | 70/100 | 69/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 147.4 | 150.2 (best) | 147.0 |
| ECI rank | #61 of 148 | #47 of 148 (best) | #62 of 148 |
| GPQA DiamondGraduate-level science questions | 87.9% | 88.5% | 90.9% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 34.4% | 46.3% (best) | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 93.3% (best) | 90.0% | 71.1% |
| SimpleQA VerifiedShort factual questions | — | 19.1% | — |
| Price per million tokens | |||
| Input | $0.40 | $0.50 | $0.30 (best) |
| Output | $1.60 | $1.20 (best) | $1.20 (best) |
| Cached input | $0.04 (best) | — | $0.06 |
| Blended (3:1) | $0.70 | $0.675 | $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 | Median of 11 providers | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens (best) | 1,048,576 tokens (best) |
| Max output | 64,000 tokens | 1,048,576 tokens (best) | 512,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | Yes | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | OpenApache-2.0 | Open |
| API model ID | qwen3.7-plus | — | MiniMax-M3 |
| API providers | 25 | 11 | 42 (best) |
| Released | Jun 2, 2026 | Jul 30, 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
Inkling Small$7.40
MiniMax-M3$5.40
Which should you choose?
Which is better: Qwen3.7 Plus, Inkling Small or MiniMax-M3?
It is close. Our weighted score puts them within a point (Inkling Small 70/100, Qwen3.7 Plus 70/100, MiniMax-M3 69/100), so choose by what matters most for your work: Inkling Small for raw capability and MiniMax-M3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Qwen3.7 Plus, Inkling Small or MiniMax-M3?
MiniMax-M3 is cheaper at $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). Inkling Small costs $0.50 input / $1.20 output per million tokens (median across 11 API providers); Qwen3.7 Plus costs $0.40 input / $1.60 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 $0.675 for Inkling Small (1.3× as much) and $0.70 for Qwen3.7 Plus (1.3× as much).
Which scores higher on benchmarks?
Inkling Small scores higher on the Capabilities Index (ECI): Inkling Small 150.2 (#47 of 148), Qwen3.7 Plus 147.4 (#61 of 148) and MiniMax-M3 147.0 (#62 of 148). The confidence ranges of the top two overlap (147.5–152.1 vs 145.7–148.9), so treat the gap as small. On individual benchmarks: GPQA Diamond — MiniMax-M3 90.9%, Inkling Small 88.5%, Qwen3.7 Plus 87.9%; OTIS Mock AIME 2024–2025 — Qwen3.7 Plus 93.3%, Inkling Small 90.0%, MiniMax-M3 71.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.7 Plus, Inkling Small and MiniMax-M3 yet, so there is no like-for-like coding score. On overall capability, Inkling Small 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?
Inkling Small and MiniMax-M3 have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for Qwen3.7 Plus. Maximum output per response: Qwen3.7 Plus up to 64,000, Inkling Small up to 1,048,576, MiniMax-M3 up to 512,000 tokens.
Which can read images, PDFs, audio or video?
Qwen3.7 Plus accepts text, images and video; Inkling Small accepts text, images and audio; MiniMax-M3 accepts text, images and video. They handle the same number of input types.
Are any of these open source?
Inkling Small and MiniMax-M3 publishes its weights (Apache-2.0) and can be self-hosted; Qwen3.7 Plus is proprietary.
Which is newer?
Inkling Small is the newest, released Jul 30, 2026. Qwen3.7 Plus came out Jun 2, 2026; MiniMax-M3 came out Jun 1, 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.