GPT-6 Astra vs GLM-5.3-Flash vs Claude Fable 5.1
GLM-5.3-Flash comes out ahead, 80 to 68 and 66 on our weighted score, and it is the cheaper option too.
OpenAIGPT-6 Astra
68/100- ECI166.5
- Price$10.00 / $50.00
- Context1.05M
- Our pick
Z.ai (Zhipu)GLM-5.3-Flash
80/100- ECI151.9
- Price$0.15 / $0.50
- Context1M
AnthropicClaude Fable 5.1
66/100- ECI164.8
- Price$10.00 / $50.00
- Context1M
GLM-5.3-Flash is our pick
GLM-5.3-Flash is the better all-round choice, scoring 80/100 against GPT-6 Astra (68) and Claude Fable 5.1 (66). It leads on price and inputs & features. GPT-6 Astra wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-6 AstraCapabilities Index (ECI): GPT-6 Astra 166.5 · Claude Fable 5.1 164.8 · GLM-5.3-Flash 151.9
- Lowest priceGLM-5.3-FlashGLM-5.3-Flash $0.237 · 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-Flash 1,000,000 · Claude Fable 5.1 1,000,000 tokens
- Widest inputsGLM-5.3-FlashGPT-6 Astra: Text, Images, PDFs · GLM-5.3-Flash: Text, Images, PDFs, Video · Claude Fable 5.1: Text, Images, PDFs
- Self-hostingGLM-5.3-FlashPublishes downloadable weights
| Measure | Weight | GPT-6 Astra | GLM-5.3-Flash | Claude Fable 5.1 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 99 | 81 | 97 |
| Price | 25% | 0 | 79 | 0 |
| Inputs & features | 15% | 80 | 90 | 80 |
| Context window | 10% | 61 | 60 | 60 |
| Overall | 100% | 68/100 | 80/100 | 66/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-6 AstraOpenAI | GLM-5.3-FlashZ.ai (Zhipu) | Claude Fable 5.1Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 166.5 (best) | 151.9 | 164.8 |
| ECI rank | #2 of 148 (best) | #42 of 148 | #4 of 148 |
| GPQA DiamondGraduate-level science questions | 95.8% (best) | 90.2% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 93.7% (best) | 55.8% | 90.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% (best) | 93.9% | 100% (best) |
| SimpleQA VerifiedShort factual questions | 75.6% (best) | — | 70.8% |
| Price per million tokens | |||
| Input | $10.00 | $0.15 (best) | $10.00 |
| Output | $50.00 | $0.50 (best) | $50.00 |
| Cached input | $1.00 | $0.03 (best) | $0.25 |
| Blended (3:1) | $20.00 | $0.237 (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 | Yes | Yes |
| PDFs | Yes | Yes | Yes |
| Audio | No | No | No |
| Video | No | Yes | 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-flash | claude-fable-5-1 |
| API providers | 26 | 65 (best) | 29 |
| Released | Sep 4, 2026 | Aug 26, 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-Flash$2.50
- Claude Fable 5.1$200.00
Which should you choose?
Which is better: GPT-6 Astra, GLM-5.3-Flash or Claude Fable 5.1?
GLM-5.3-Flash is the better all-round choice, scoring 80/100 against GPT-6 Astra (68) and Claude Fable 5.1 (66). It leads on price and inputs & features. GPT-6 Astra wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-6 Astra, GLM-5.3-Flash or Claude Fable 5.1?
GLM-5.3-Flash is cheaper at $0.15 input / $0.50 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 $0.237 per million tokens for GLM-5.3-Flash versus $20.00 for GPT-6 Astra (84× as much) and $20.00 for Claude Fable 5.1 (84× as much).
Which scores higher on benchmarks?
GPT-6 Astra scores higher on the Capabilities Index (ECI): GPT-6 Astra 166.5 (#2 of 148), Claude Fable 5.1 164.8 (#4 of 148) and GLM-5.3-Flash 151.9 (#42 of 148). The confidence ranges of the top two overlap (163.1–171.1 vs 161.8–169.1), 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-Flash 55.8%; OTIS Mock AIME 2024–2025 — GPT-6 Astra 100%, Claude Fable 5.1 100%, GLM-5.3-Flash 93.9%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-6 Astra, GLM-5.3-Flash 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-Flash and 1,000,000 for Claude Fable 5.1. Maximum output per response: GPT-6 Astra up to 128,000, GLM-5.3-Flash 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-Flash accepts text, images, PDFs and video; Claude Fable 5.1 accepts text, images and PDFs. GLM-5.3-Flash handles the widest range of inputs.
Are any of these open source?
GLM-5.3-Flash 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-Flash came out Aug 26, 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 Oct 4, 2026.
