GPT-6 Astra vs GLM-5.3 vs Claude Fable 5.1
Too close to call on our weighted score (GPT-6 Astra 68, Claude Fable 5.1 66, GLM-5.3 63). The right pick depends on what you value most.
OpenAIGPT-6 Astra
68/100- ECI169.1
- Price$10.00 / $50.00
- Context1.05M
Z.ai (Zhipu)GLM-5.3
63/100- ECI156.2
- Price$1.40 / $4.40
- Context1M
AnthropicClaude Fable 5.1
66/100- ECI166.4
- Price$10.00 / $50.00
- Context1M
Too close to call
It is close. Our weighted score puts them within 2 points (GPT-6 Astra 68/100, Claude Fable 5.1 66/100, GLM-5.3 63/100), so choose by what matters most for your work: GPT-6 Astra for raw capability and GLM-5.3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-6 AstraCapabilities Index (ECI): GPT-6 Astra 169.1 · Claude Fable 5.1 166.4 · GLM-5.3 156.2
- Lowest priceGLM-5.3GLM-5.3 $2.15 · GPT-6 Astra $20.00 · Claude Fable 5.1 $20.00 per 1M tokens (3:1 blend)
- Longest contextGPT-6 AstraGPT-6 Astra 1,050,000 · GLM-5.3 1,000,000 · Claude Fable 5.1 1,000,000 tokens
- Widest inputsGPT-6 Astra and Claude Fable 5.1GPT-6 Astra: Text, Images, PDFs · GLM-5.3: Text · Claude Fable 5.1: Text, Images, PDFs
- Self-hostingGLM-5.3Publishes downloadable weights
| Measure | Weight | GPT-6 Astra | GLM-5.3 | Claude Fable 5.1 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 100 | 84 | 97 |
| Price | 25% | 0 | 33 | 0 |
| Inputs & features | 15% | 80 | 45 | 80 |
| Context window | 10% | 61 | 60 | 60 |
| Overall | 100% | 68/100 | 63/100 | 66/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-6 AstraOpenAI | GLM-5.3Z.ai (Zhipu) | Claude Fable 5.1Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 169.1 (best) | 156.2 | 166.4 |
| ECI rank | #1 of 165 (best) | #33 of 165 | #6 of 165 |
| GPQA DiamondGraduate-level science questions | 95.8% (best) | 90.9% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 93.7% (best) | 68.8% | 90.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% (best) | 91.1% | 100% (best) |
| SimpleQA VerifiedShort factual questions | 75.6% (best) | 41.0% | 70.8% |
| Price per million tokens | |||
| Input | $10.00 | $1.40 (best) | $10.00 |
| Output | $50.00 | $4.40 (best) | $50.00 |
| Cached input | $1.00 | $0.26 | $0.25 (best) |
| Blended (3:1) | $20.00 | $2.15 (best) | $20.00 |
| Long-context rate | Over 272K: $20.00 / $75.00 | Same rate | Same rate |
| Price source | Official OpenAI API | Official Z.AI API | Official Anthropic API |
| Limits | |||
| Context window | 1,050,000 tokens (best) | 1,000,000 tokens | 1,000,000 tokens |
| Max output | 128,000 tokens | 131,072 tokens (best) | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high · xhigh · max | Yeslow · high · max | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | gpt-6-astra | glm-5.3 | claude-fable-5-1 |
| API providers | 37 | 83 (best) | 37 |
| Released | Sep 4, 2026 | Aug 14, 2026 | Sep 1, 2026 |
| Knowledge cutoff | Apr 30, 2026 | — | Jun 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-6 Astra$200.00
- GLM-5.3$22.80
- Claude Fable 5.1$200.00
Which should you choose?
Which is better: GPT-6 Astra, GLM-5.3 or Claude Fable 5.1?
It is close. Our weighted score puts them within 2 points (GPT-6 Astra 68/100, Claude Fable 5.1 66/100, GLM-5.3 63/100), so choose by what matters most for your work: GPT-6 Astra for raw capability and GLM-5.3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-6 Astra, GLM-5.3 or Claude Fable 5.1?
GLM-5.3 is cheaper at $1.40 input / $4.40 output per million tokens (official Z.AI API price). GPT-6 Astra costs $10.00 input / $50.00 output per million tokens (official OpenAI API price); Claude Fable 5.1 costs $10.00 input / $50.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $2.15 per million tokens for GLM-5.3 versus $20.00 for GPT-6 Astra (9.3× as much) and $20.00 for Claude Fable 5.1 (9.3× as much).
Which scores higher on benchmarks?
GPT-6 Astra scores higher on the Capabilities Index (ECI): GPT-6 Astra 169.1 (#1 of 165), Claude Fable 5.1 166.4 (#6 of 165) and GLM-5.3 156.2 (#33 of 165). The confidence ranges of the top two overlap (165.9–174.3 vs 163.6–170.8), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — GPT-6 Astra 93.7%, Claude Fable 5.1 90.2%, GLM-5.3 68.8%; OTIS Mock AIME 2024–2025 — GPT-6 Astra 100%, Claude Fable 5.1 100%, GLM-5.3 91.1%; SimpleQA Verified — GPT-6 Astra 75.6%, Claude Fable 5.1 70.8%, GLM-5.3 41.0%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-6 Astra, GLM-5.3 and Claude Fable 5.1 yet, so there is no like-for-like coding score. On overall capability, GPT-6 Astra 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-6 Astra has the largest context window at 1,050,000 tokens, against 1,000,000 for GLM-5.3 and 1,000,000 for Claude Fable 5.1. Maximum output per response: GPT-6 Astra up to 128,000, GLM-5.3 up to 131,072, Claude Fable 5.1 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GPT-6 Astra accepts text, images and PDFs; GLM-5.3 accepts text; Claude Fable 5.1 accepts text, images and PDFs. GPT-6 Astra handles the widest range of inputs.
Are any of these open source?
GLM-5.3 publishes its weights and can be self-hosted; GPT-6 Astra and Claude Fable 5.1 is proprietary.
Which is newer?
GPT-6 Astra is the newest, released Sep 4, 2026. Claude Fable 5.1 came out Sep 1, 2026; GLM-5.3 came out Aug 14, 2026. Knowledge cutoff: GPT-6 Astra Apr 30, 2026, Claude Fable 5.1 Jun 2026.
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.
