GLM-5.1 vs GPT-5.6 Sol vs Kimi K2.7 Code
Too close to call on our weighted score (GPT-5.6 Sol 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
OpenAIGPT-5.6 Sol
66/100- ECI161.8
- Price$4.00 / $20.00
- Context1.05M
Moonshot AIKimi K2.7 Code
64/100- ECI150.0
- Price$0.95 / $4.00
- Context262K
Too close to call
It is close. Our weighted score puts them within 2 points (GPT-5.6 Sol 66/100, Kimi K2.7 Code 64/100, GLM-5.1 57/100), so choose by what matters most for your work: GPT-5.6 Sol for raw capability and Kimi K2.7 Code on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5.6 SolCapabilities Index (ECI): GPT-5.6 Sol 161.8 · Kimi K2.7 Code 150.0 · GLM-5.1 149.9
- Lowest priceKimi K2.7 CodeKimi K2.7 Code $1.71 · GLM-5.1 $2.15 · GPT-5.6 Sol $8.00 per 1M tokens (3:1 blend)
- Longest contextGPT-5.6 SolGPT-5.6 Sol 1,050,000 · Kimi K2.7 Code 262,144 · GLM-5.1 200,000 tokens
- Widest inputsGPT-5.6 Sol and Kimi K2.7 CodeGLM-5.1: Text · GPT-5.6 Sol: Text, Images, PDFs · Kimi K2.7 Code: Text, Images, Video
- Self-hostingGLM-5.1 and Kimi K2.7 CodePublishes downloadable weights
| Measure | Weight | GLM-5.1 | GPT-5.6 Sol | Kimi K2.7 Code |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 78 | 93 | 78 |
| Price | 25% | 34 | 7 | 39 |
| Inputs & features | 15% | 45 | 80 | 80 |
| Context window | 10% | 32 | 61 | 37 |
| Overall | 100% | 57/100 | 66/100 | 64/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-5.1Z.ai (Zhipu) | GPT-5.6 SolOpenAI | Kimi K2.7 CodeMoonshot AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 149.9 | 161.8 (best) | 150.0 |
| ECI rank | #51 of 148 | #8 of 148 (best) | #49 of 148 |
| GPQA DiamondGraduate-level science questions | 89.9% | 93.5% (best) | 87.9% |
| FrontierMath Tiers 1–3Research-level mathematics | 36.8% | 89.1% (best) | 54.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | 93.3% | 100% (best) | 95.6% |
| SWE-bench VerifiedFixing real GitHub issues | 74.2% | — | — |
| SimpleQA VerifiedShort factual questions | 34.0% | 69.7% (best) | 36.5% |
| Price per million tokens | |||
| Input | $1.40 | $4.00 | $0.95 (best) |
| Output | $4.40 | $20.00 | $4.00 (best) |
| Cached input | $0.26 | $0.40 | $0.19 (best) |
| Blended (3:1) | $2.15 | $8.00 | $1.71 (best) |
| Long-context rate | Same rate | Over 272K: $8.00 / $30.00 | Same rate |
| Price source | Official Z.AI API | Official OpenAI API | Official Moonshot AI API |
| Limits | |||
| Context window | 200,000 tokens | 1,050,000 tokens (best) | 262,144 tokens |
| Max output | 131,072 tokens | 128,000 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | Yeslow · medium · high · xhigh · max | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | glm-5.1 | gpt-5.6-sol | kimi-k2.7-code |
| API providers | 40 | 40 | 51 (best) |
| Released | Apr 7, 2026 | Jul 9, 2026 | Jun 12, 2026 |
| Knowledge cutoff | — | Feb 16, 2026 | Jan 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
- GPT-5.6 Sol$80.00
- Kimi K2.7 Code$17.50
Which should you choose?
Which is better: GLM-5.1, GPT-5.6 Sol or Kimi K2.7 Code?
It is close. Our weighted score puts them within 2 points (GPT-5.6 Sol 66/100, Kimi K2.7 Code 64/100, GLM-5.1 57/100), so choose by what matters most for your work: GPT-5.6 Sol for raw capability and Kimi K2.7 Code on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GLM-5.1, GPT-5.6 Sol or Kimi K2.7 Code?
Kimi K2.7 Code is cheaper at $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); GPT-5.6 Sol costs $4.00 input / $20.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $1.71 per million tokens for Kimi K2.7 Code versus $2.15 for GLM-5.1 (1.3× as much) and $8.00 for GPT-5.6 Sol (4.7× as much).
Which scores higher on benchmarks?
GPT-5.6 Sol scores higher on the Capabilities Index (ECI): GPT-5.6 Sol 161.8 (#8 of 148), Kimi K2.7 Code 150.0 (#49 of 148) and GLM-5.1 149.9 (#51 of 148). Their confidence ranges do not overlap (159.3–165.3 vs 148.1–151.8), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-5.6 Sol 93.5%, GLM-5.1 89.9%, Kimi K2.7 Code 87.9%; FrontierMath Tiers 1–3 — GPT-5.6 Sol 89.1%, Kimi K2.7 Code 54.0%, GLM-5.1 36.8%; OTIS Mock AIME 2024–2025 — GPT-5.6 Sol 100%, Kimi K2.7 Code 95.6%, GLM-5.1 93.3%; SimpleQA Verified — GPT-5.6 Sol 69.7%, 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 GPT-5.6 Sol and Kimi K2.7 Code yet, so there is no like-for-like coding score. On overall capability, GPT-5.6 Sol 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?
GPT-5.6 Sol has the largest context window at 1,050,000 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, GPT-5.6 Sol up to 128,000, Kimi K2.7 Code up to 262,144 tokens.
Which can read images, PDFs, audio or video?
GLM-5.1 accepts text; GPT-5.6 Sol accepts text, images and PDFs; Kimi K2.7 Code accepts text, images and video. GPT-5.6 Sol 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; GPT-5.6 Sol is proprietary.
Which is newer?
GPT-5.6 Sol is the newest, released Jul 9, 2026. Kimi K2.7 Code came out Jun 12, 2026; GLM-5.1 came out Apr 7, 2026. Knowledge cutoff: GPT-5.6 Sol Feb 16, 2026, Kimi K2.7 Code Jan 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.
