GLM-5.1 vs Kimi K2.7 Code vs Qwen3.6 Plus
Too close to call on our weighted score (Qwen3.6 Plus 66, Kimi K2.7 Code 64, GLM-5.1 57). The right pick depends on what you value most.
Z.ai (Zhipu)GLM-5.1
57/100- ECI149.9
- Price$1.40 / $4.40
- Context200K
Moonshot AIKimi K2.7 Code
64/100- ECI150.0
- Price$0.95 / $4.00
- Context262K
Alibaba (Qwen)Qwen3.6 Plus
66/100- ECI147.6
- Price$0.50 / $3.00
- Context1M
Too close to call
It is close. Our weighted score puts them within 1 points (Qwen3.6 Plus 66/100, Kimi K2.7 Code 64/100, GLM-5.1 57/100), so choose by what matters most for your work: Kimi K2.7 Code for raw capability, Qwen3.6 Plus on price and Qwen3.6 Plus for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityKimi K2.7 CodeCapabilities Index (ECI): Kimi K2.7 Code 150.0 · GLM-5.1 149.9 · Qwen3.6 Plus 147.6
- Lowest priceQwen3.6 PlusQwen3.6 Plus $1.13 · Kimi K2.7 Code $1.71 · GLM-5.1 $2.15 per 1M tokens (3:1 blend)
- Longest contextQwen3.6 PlusQwen3.6 Plus 1,000,000 · Kimi K2.7 Code 262,144 · GLM-5.1 200,000 tokens
- Widest inputsKimi K2.7 Code and Qwen3.6 PlusGLM-5.1: Text · Kimi K2.7 Code: Text, Images, Video · Qwen3.6 Plus: Text, Images, Video
- Self-hostingGLM-5.1 and Kimi K2.7 CodePublishes downloadable weights
| Measure | Weight | GLM-5.1 | Kimi K2.7 Code | Qwen3.6 Plus |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 78 | 78 | 75 |
| Price | 25% | 34 | 39 | 47 |
| Inputs & features | 15% | 45 | 80 | 70 |
| Context window | 10% | 32 | 37 | 60 |
| Overall | 100% | 57/100 | 64/100 | 66/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-5.1Z.ai (Zhipu) | Kimi K2.7 CodeMoonshot AI | Qwen3.6 PlusAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 149.9 | 150.0 (best) | 147.6 |
| ECI rank | #51 of 148 | #49 of 148 (best) | #59 of 148 |
| GPQA DiamondGraduate-level science questions | 89.9% (best) | 87.9% | 88.4% |
| FrontierMath Tiers 1–3Research-level mathematics | 36.8% | 54.0% (best) | 38.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | 93.3% | 95.6% (best) | 93.3% |
| SWE-bench VerifiedFixing real GitHub issues | 74.2% (best) | — | 57.9% |
| SimpleQA VerifiedShort factual questions | 34.0% | 36.5% | 44.1% (best) |
| Price per million tokens | |||
| Input | $1.40 | $0.95 | $0.50 (best) |
| Output | $4.40 | $4.00 | $3.00 (best) |
| Cached input | $0.26 | $0.19 | $0.05 (best) |
| Blended (3:1) | $2.15 | $1.71 | $1.13 (best) |
| Long-context rate | Same rate | Same rate | Over 256K: $2.00 / $6.00 |
| Price source | Official Z.AI API | Official Moonshot AI API | Official Alibaba API |
| Limits | |||
| Context window | 200,000 tokens | 262,144 tokens | 1,000,000 tokens (best) |
| Max output | 131,072 tokens | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | glm-5.1 | kimi-k2.7-code | qwen3.6-plus |
| API providers | 40 | 51 (best) | 18 |
| Released | Apr 7, 2026 | Jun 12, 2026 | Apr 2, 2026 |
| Knowledge cutoff | — | Jan 2025 | 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-5.1$22.80
- Kimi K2.7 Code$17.50
- Qwen3.6 Plus$11.00
Which should you choose?
Which is better: GLM-5.1, Kimi K2.7 Code or Qwen3.6 Plus?
It is close. Our weighted score puts them within 1 points (Qwen3.6 Plus 66/100, Kimi K2.7 Code 64/100, GLM-5.1 57/100), so choose by what matters most for your work: Kimi K2.7 Code for raw capability, Qwen3.6 Plus on price and Qwen3.6 Plus for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GLM-5.1, Kimi K2.7 Code or Qwen3.6 Plus?
Qwen3.6 Plus is cheaper at $0.50 input / $3.00 output per million tokens (official Alibaba API price). Kimi K2.7 Code costs $0.95 input / $4.00 output per million tokens (official Moonshot AI API price); GLM-5.1 costs $1.40 input / $4.40 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $1.13 per million tokens for Qwen3.6 Plus versus $1.71 for Kimi K2.7 Code (1.5× as much) and $2.15 for GLM-5.1 (1.9× as much).
Which scores higher on benchmarks?
Kimi K2.7 Code scores higher on the Capabilities Index (ECI): Kimi K2.7 Code 150.0 (#49 of 148), GLM-5.1 149.9 (#51 of 148) and Qwen3.6 Plus 147.6 (#59 of 148). The confidence ranges of the top two overlap (148.1–151.8 vs 148.0–151.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — GLM-5.1 89.9%, Qwen3.6 Plus 88.4%, Kimi K2.7 Code 87.9%; FrontierMath Tiers 1–3 — Kimi K2.7 Code 54.0%, Qwen3.6 Plus 38.3%, GLM-5.1 36.8%; OTIS Mock AIME 2024–2025 — Kimi K2.7 Code 95.6%, GLM-5.1 93.3%, Qwen3.6 Plus 93.3%; SimpleQA Verified — Qwen3.6 Plus 44.1%, Kimi K2.7 Code 36.5%, GLM-5.1 34.0%.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K2.7 Code yet, so there is no like-for-like coding score. On overall capability, Kimi K2.7 Code 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?
Qwen3.6 Plus has the largest context window at 1,000,000 tokens, against 262,144 for Kimi K2.7 Code and 200,000 for GLM-5.1. Maximum output per response: GLM-5.1 up to 131,072, Kimi K2.7 Code up to 262,144, Qwen3.6 Plus up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GLM-5.1 accepts text; Kimi K2.7 Code accepts text, images and video; Qwen3.6 Plus accepts text, images and video. Kimi K2.7 Code handles the widest range of inputs.
Are any of these open source?
GLM-5.1 and Kimi K2.7 Code publishes its weights and can be self-hosted; Qwen3.6 Plus is proprietary.
Which is newer?
Kimi K2.7 Code is the newest, released Jun 12, 2026. GLM-5.1 came out Apr 7, 2026; Qwen3.6 Plus came out Apr 2, 2026. Knowledge cutoff: Kimi K2.7 Code Jan 2025, Qwen3.6 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.
