GPT-6 Astra vs Qwen 3.8 Max Prime vs Claude Fable 5.1
Qwen 3.8 Max Prime comes out ahead, 42 to 36 and 36 on our weighted score, and it is the cheaper option too.
OpenAIGPT-6 Astra
36/100- ECI166.5
- Price$10.00 / $50.00
- Context1.05M
- Our pick
Alibaba (Qwen)Qwen 3.8 Max Prime
42/100- ECI—
- Price$4.00 / $12.00
- Context1M
AnthropicClaude Fable 5.1
36/100- ECI164.8
- Price$10.00 / $50.00
- Context1M
Qwen 3.8 Max Prime is our pick
Qwen 3.8 Max Prime is the better all-round choice, scoring 42/100 against GPT-6 Astra (36) and Claude Fable 5.1 (36). It leads on price. 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 priceQwen 3.8 Max PrimeQwen 3.8 Max Prime $6.00 · 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 · Qwen 3.8 Max Prime 1,000,000 · Claude Fable 5.1 1,000,000 tokens
- Widest inputsSame inputsGPT-6 Astra: Text, Images, PDFs · Qwen 3.8 Max Prime: Text, Images, Video · Claude Fable 5.1: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-6 Astra | Qwen 3.8 Max Prime | Claude Fable 5.1 |
|---|---|---|---|---|
| Price | 50% | 0 | 13 | 0 |
| Inputs & features | 30% | 80 | 80 | 80 |
| Context window | 20% | 61 | 60 | 60 |
| Overall | 100% | 36/100 | 42/100 | 36/100 |
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-6 AstraOpenAI | Qwen 3.8 Max PrimeAlibaba (Qwen) | Claude Fable 5.1Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 166.5 (best) | — | 164.8 |
| ECI rank | #2 of 148 (best) | — | #4 of 148 |
| GPQA DiamondGraduate-level science questions | 95.8% | — | — |
| FrontierMath Tiers 1–3Research-level mathematics | 93.7% (best) | — | 90.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% | — | 100% |
| SimpleQA VerifiedShort factual questions | 75.6% (best) | — | 70.8% |
| Price per million tokens | |||
| Input | $10.00 | $4.00 (best) | $10.00 |
| Output | $50.00 | $12.00 (best) | $50.00 |
| Cached input | $1.00 | — | $0.25 (best) |
| Blended (3:1) | $20.00 | $6.00 (best) | $20.00 |
| Long-context rate | Over 272K: $20.00 / $75.00 | Same rate | Same rate |
| Price source | Official OpenAI API | Median of 4 providers | 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 | No | Yes |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yeslow · medium · high · xhigh · max | Yes | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-6-astra | — | claude-fable-5-1 |
| API providers | 26 | 4 | 29 (best) |
| Released | Sep 4, 2026 | Sep 23, 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
- Qwen 3.8 Max Prime$64.00
- Claude Fable 5.1$200.00
Which should you choose?
Which is better: GPT-6 Astra, Qwen 3.8 Max Prime or Claude Fable 5.1?
Qwen 3.8 Max Prime is the better all-round choice, scoring 42/100 against GPT-6 Astra (36) and Claude Fable 5.1 (36). It leads on price. 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-6 Astra, Qwen 3.8 Max Prime or Claude Fable 5.1?
Qwen 3.8 Max Prime is cheaper at $4.00 input / $12.00 output per million tokens (median across 4 API providers). 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 $6.00 per million tokens for Qwen 3.8 Max Prime versus $20.00 for GPT-6 Astra (3.3× as much) and $20.00 for Claude Fable 5.1 (3.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-6 Astra has an ECI of 166.5, Qwen 3.8 Max Prime has not been scored yet and Claude Fable 5.1 has an ECI of 164.8.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-6 Astra, Qwen 3.8 Max Prime and Claude Fable 5.1 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. 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 Qwen 3.8 Max Prime and 1,000,000 for Claude Fable 5.1. Maximum output per response: GPT-6 Astra up to 128,000, Qwen 3.8 Max Prime 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; Qwen 3.8 Max Prime accepts text, images and video; Claude Fable 5.1 accepts text, images and PDFs. They handle the same number of input types.
Are any of these open source?
No. GPT-6 Astra, Qwen 3.8 Max Prime and Claude Fable 5.1 are proprietary and only available through APIs and apps.
Which is newer?
Qwen 3.8 Max Prime is the newest, released Sep 23, 2026. GPT-6 Astra came out Sep 4, 2026; Claude Fable 5.1 came out Sep 1, 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.
