Qwen3.7 Plus vs GLM-5.3-Flash vs MiniMax-M3
GLM-5.3-Flash comes out ahead, 80 to 70 and 69 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)
Qwen3.7 Plus
70/100- ECI147.4
- Price$0.40 / $1.60
- Context1M
- Our pick
Z.ai (Zhipu)
GLM-5.3-Flash
80/100- ECI151.9
- Price$0.15 / $0.50
- Context1M
MiniMax
MiniMax-M3
69/100- ECI147.0
- Price$0.30 / $1.20
- Context1.05M
GLM-5.3-Flash is our pick
GLM-5.3-Flash is the better all-round choice, scoring 80/100 against Qwen3.7 Plus (70) and MiniMax-M3 (69). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGLM-5.3-FlashCapabilities Index (ECI): GLM-5.3-Flash 151.9 · Qwen3.7 Plus 147.4 · MiniMax-M3 147.0
- Lowest priceGLM-5.3-FlashGLM-5.3-Flash $0.237 · MiniMax-M3 $0.525 · Qwen3.7 Plus $0.70 per 1M tokens (3:1 blend)
- Longest contextMiniMax-M3MiniMax-M3 1,048,576 · Qwen3.7 Plus 1,000,000 · GLM-5.3-Flash 1,000,000 tokens
- Widest inputsGLM-5.3-FlashQwen3.7 Plus: Text, Images, Video · GLM-5.3-Flash: Text, Images, PDFs, Video · MiniMax-M3: Text, Images, Video
- Self-hostingGLM-5.3-Flash and MiniMax-M3Publishes downloadable weights
| Measure | Weight | Qwen3.7 Plus | GLM-5.3-Flash | MiniMax-M3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 75 | 81 | 74 |
| Price | 25% | 57 | 79 | 63 |
| Inputs & features | 15% | 80 | 90 | 70 |
| Context window | 10% | 60 | 60 | 61 |
| Overall | 100% | 70/100 | 80/100 | 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 | 151.9 (best) | 147.0 |
| ECI rank | #61 of 148 | #42 of 148 (best) | #62 of 148 |
| GPQA DiamondGraduate-level science questions | 87.9% | 90.2% | 90.9% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 34.4% | 55.8% (best) | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 93.3% | 93.9% (best) | 71.1% |
| Price per million tokens | |||
| Input | $0.40 | $0.15 (best) | $0.30 |
| Output | $1.60 | $0.50 (best) | $1.20 |
| Cached input | $0.04 | $0.03 (best) | $0.06 |
| Blended (3:1) | $0.70 | $0.237 (best) | $0.525 |
| Long-context rate | Over 256K: $1.20 / $4.80 | Same rate | Over 512K: $0.60 / $2.40 |
| Price source | Official Alibaba API | Official Z.AI API | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,000,000 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 | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | Yes | Yes | Yes |
| Reasoning | Yes | Yeslow · high · max | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | qwen3.7-plus | glm-5.3-flash | MiniMax-M3 |
| API providers | 25 | 65 (best) | 42 |
| Released | Jun 2, 2026 | Aug 26, 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
GLM-5.3-Flash$2.50
MiniMax-M3$5.40
Which should you choose?
Which is better: Qwen3.7 Plus, GLM-5.3-Flash or MiniMax-M3?
GLM-5.3-Flash is the better all-round choice, scoring 80/100 against Qwen3.7 Plus (70) and MiniMax-M3 (69). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Qwen3.7 Plus, GLM-5.3-Flash or MiniMax-M3?
GLM-5.3-Flash is cheaper at $0.15 input / $0.50 output per million tokens (official Z.AI API price). MiniMax-M3 costs $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). At a typical mix of three input tokens to one output token, that is $0.237 per million tokens for GLM-5.3-Flash versus $0.525 for MiniMax-M3 (2.2× as much) and $0.70 for Qwen3.7 Plus (2.9× as much).
Which scores higher on benchmarks?
GLM-5.3-Flash scores higher on the Capabilities Index (ECI): GLM-5.3-Flash 151.9 (#42 of 148), Qwen3.7 Plus 147.4 (#61 of 148) and MiniMax-M3 147.0 (#62 of 148). Their confidence ranges do not overlap (149.4–154.3 vs 145.7–148.9), so the gap is a real one. On individual benchmarks: GPQA Diamond — MiniMax-M3 90.9%, GLM-5.3-Flash 90.2%, Qwen3.7 Plus 87.9%; OTIS Mock AIME 2024–2025 — GLM-5.3-Flash 93.9%, Qwen3.7 Plus 93.3%, MiniMax-M3 71.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.7 Plus, GLM-5.3-Flash and MiniMax-M3 yet, so there is no like-for-like coding score. On overall capability, GLM-5.3-Flash 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?
MiniMax-M3 has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.7 Plus and 1,000,000 for GLM-5.3-Flash. Maximum output per response: Qwen3.7 Plus up to 64,000, GLM-5.3-Flash 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; GLM-5.3-Flash accepts text, images, PDFs and video; MiniMax-M3 accepts text, images and video. GLM-5.3-Flash handles the widest range of inputs.
Are any of these open source?
GLM-5.3-Flash and MiniMax-M3 publishes its weights and can be self-hosted; Qwen3.7 Plus is proprietary.
Which is newer?
GLM-5.3-Flash is the newest, released Aug 26, 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.