GLM-5 vs Qwen3.7 Plus
Qwen3.7 Plus comes out ahead, 70 to 55 on our weighted score, and it is the cheaper option too.
Z.ai (Zhipu)GLM-5
55/100- ECI145.8
- Price$1.00 / $3.20
- Context205K
- Our pick
Alibaba (Qwen)Qwen3.7 Plus
70/100- ECI147.4
- Price$0.40 / $1.60
- Context1M
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Make it a three-way comparison.
Qwen3.7 Plus is our pick
Qwen3.7 Plus is the better all-round choice, scoring 70/100 against GLM-5 (55). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3.7 PlusCapabilities Index (ECI): Qwen3.7 Plus 147.4 · GLM-5 145.8
- Lowest priceQwen3.7 PlusQwen3.7 Plus $0.70 · GLM-5 $1.55 per 1M tokens (3:1 blend)
- Longest contextQwen3.7 PlusQwen3.7 Plus 1,000,000 · GLM-5 204,800 tokens
- Widest inputsQwen3.7 PlusGLM-5: Text · Qwen3.7 Plus: Text, Images, Video
- Self-hostingGLM-5Publishes downloadable weights
| Measure | Weight | GLM-5 | Qwen3.7 Plus |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 73 | 75 |
| Price | 25% | 41 | 57 |
| Inputs & features | 15% | 35 | 80 |
| Context window | 10% | 32 | 60 |
| Overall | 100% | 55/100 | 70/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-5Z.ai (Zhipu) | Qwen3.7 PlusAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 145.8 | 147.4 (best) |
| ECI rank | #74 of 148 | #61 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 87.8% | 87.9% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | 34.4% |
| OTIS Mock AIME 2024–2025Competition mathematics | 80.0% | 93.3% (best) |
| SWE-bench VerifiedFixing real GitHub issues | 72.1% | — |
| Price per million tokens | ||
| Input | $1.00 | $0.40 (best) |
| Output | $3.20 | $1.60 (best) |
| Cached input | $0.20 | $0.04 (best) |
| Blended (3:1) | $1.55 | $0.70 (best) |
| Long-context rate | Same rate | Over 256K: $1.20 / $4.80 |
| Price source | Official Z.AI API | Official Alibaba API |
| Limits | ||
| Context window | 204,800 tokens | 1,000,000 tokens (best) |
| Max output | 131,072 tokens (best) | 64,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | glm-5 | qwen3.7-plus |
| API providers | 27 (best) | 25 |
| Released | Feb 12, 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.
- GLM-5$16.40
- Qwen3.7 Plus$7.20
Which should you choose?
Which is better: GLM-5 or Qwen3.7 Plus?
Qwen3.7 Plus is the better all-round choice, scoring 70/100 against GLM-5 (55). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GLM-5 or Qwen3.7 Plus?
Qwen3.7 Plus is cheaper at $0.40 input / $1.60 output per million tokens (official Alibaba API price). GLM-5 costs $1.00 input / $3.20 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.70 per million tokens for Qwen3.7 Plus versus $1.55 for GLM-5 (2.2× as much).
Which scores higher on benchmarks?
Qwen3.7 Plus scores higher on the Capabilities Index (ECI): Qwen3.7 Plus 147.4 (#61 of 148) and GLM-5 145.8 (#74 of 148). The confidence ranges of the top two overlap (145.7–148.9 vs 143.9–147.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.7 Plus 87.9%, GLM-5 87.8%; OTIS Mock AIME 2024–2025 — Qwen3.7 Plus 93.3%, GLM-5 80.0%.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.7 Plus yet, so there is no like-for-like coding score. On overall capability, Qwen3.7 Plus 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 Plus has the largest context window at 1,000,000 tokens, against 204,800 for GLM-5. Maximum output per response: GLM-5 up to 131,072, Qwen3.7 Plus up to 64,000 tokens.
Which can read images, PDFs, audio or video?
GLM-5 accepts text; Qwen3.7 Plus accepts text, images and video. Qwen3.7 Plus handles the widest range of inputs.
Are any of these open source?
GLM-5 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. GLM-5 came out Feb 12, 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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