GPT-5 Chat vs GLM-4.7
GLM-4.7 comes out ahead, 41 to 31 on our weighted score, and it is the cheaper option too.
OpenAIGPT-5 Chat
31/100- ECI—
- Price$1.25 / $10.00
- Context400K
- Our pick
Z.ai (Zhipu)GLM-4.7
41/100- ECI143.7
- Price$0.60 / $2.20
- Context205K
Add a model
Make it a three-way comparison.
GLM-4.7 is our pick
GLM-4.7 is the better all-round choice, scoring 41/100 against GPT-5 Chat (31). It leads on price. GPT-5 Chat wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGLM-4.7GLM-4.7 $1.00 · GPT-5 Chat $3.44 per 1M tokens (3:1 blend)
- Longest contextGPT-5 ChatGPT-5 Chat 400,000 · GLM-4.7 204,800 tokens
- Widest inputsGPT-5 ChatGPT-5 Chat: Text, Images · GLM-4.7: Text
- Self-hostingGLM-4.7Publishes downloadable weights
| Measure | Weight | GPT-5 Chat | GLM-4.7 |
|---|---|---|---|
| Price | 50% | 23 | 48 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 44 | 32 |
| Overall | 100% | 31/100 | 41/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5 ChatOpenAI | GLM-4.7Z.ai (Zhipu) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 143.7 |
| ECI rank | — | #94 of 165 |
| GPQA DiamondGraduate-level science questions | — | 83.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 83.3% |
| SimpleQA VerifiedShort factual questions | — | 32.2% |
| Price per million tokens | ||
| Input | $1.25 | $0.60 (best) |
| Output | $10.00 | $2.20 (best) |
| Cached input | — | $0.11 |
| Blended (3:1) | $3.44 | $1.00 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 5 providers | Official Z.AI API |
| Limits | ||
| Context window | 400,000 tokens (best) | 204,800 tokens |
| Max output | 128,000 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | — | glm-4.7 |
| API providers | 5 | 31 (best) |
| Released | Aug 7, 2025 | Dec 22, 2025 |
| Knowledge cutoff | Sep 30, 2024 | 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.
- GPT-5 Chat$32.50
- GLM-4.7$10.40
Which should you choose?
Which is better: GPT-5 Chat or GLM-4.7?
GLM-4.7 is the better all-round choice, scoring 41/100 against GPT-5 Chat (31). It leads on price. GPT-5 Chat wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GPT-5 Chat or GLM-4.7?
GLM-4.7 is cheaper at $0.60 input / $2.20 output per million tokens (official Z.AI API price). GPT-5 Chat costs $1.25 input / $10.00 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $1.00 per million tokens for GLM-4.7 versus $3.44 for GPT-5 Chat (3.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GPT-5 Chat has not been scored yet and GLM-4.7 has an ECI of 143.7.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5 Chat and GLM-4.7 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that GPT-5 Chat does not support tool calling, which most coding agents need.
Which has the bigger context window?
GPT-5 Chat has the largest context window at 400,000 tokens, against 204,800 for GLM-4.7. Maximum output per response: GPT-5 Chat up to 128,000, GLM-4.7 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GPT-5 Chat accepts text and images; GLM-4.7 accepts text. GPT-5 Chat handles the widest range of inputs.
Are any of these open source?
GLM-4.7 publishes its weights and can be self-hosted; GPT-5 Chat is proprietary.
Which is newer?
GLM-4.7 is the newest, released Dec 22, 2025. GPT-5 Chat came out Aug 7, 2025. Knowledge cutoff: GPT-5 Chat Sep 30, 2024, GLM-4.7 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 Nov 2, 2026.
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