Claude Fable 5.1 vs Mistral Large 4 vs GPT-6 Astra
Too close to call on our weighted score (GPT-6 Astra 68, Mistral Large 4 67, Claude Fable 5.1 66). The right pick depends on what you value most.
AnthropicClaude Fable 5.1
66/100- ECI166.4
- Price$10.00 / $50.00
- Context1M
Mistral AIMistral Large 4
67/100- ECI150.6
- Price$0.70 / $2.10
- Context1.05M
OpenAIGPT-6 Astra
68/100- ECI169.1
- Price$10.00 / $50.00
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 1 points (GPT-6 Astra 68/100, Mistral Large 4 67/100, Claude Fable 5.1 66/100), so choose by what matters most for your work: GPT-6 Astra for raw capability and Mistral Large 4 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 · Mistral Large 4 150.6
- Lowest priceMistral Large 4Mistral Large 4 $1.05 · Claude Fable 5.1 $20.00 · GPT-6 Astra $20.00 per 1M tokens (3:1 blend)
- Longest contextGPT-6 Astra and Mistral Large 4GPT-6 Astra 1,050,000 · Mistral Large 4 1,048,576 · Claude Fable 5.1 1,000,000 tokens
- Widest inputsClaude Fable 5.1 and GPT-6 AstraClaude Fable 5.1: Text, Images, PDFs · Mistral Large 4: Text, Images · GPT-6 Astra: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Claude Fable 5.1 | Mistral Large 4 | GPT-6 Astra |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 97 | 77 | 100 |
| Price | 25% | 0 | 47 | 0 |
| Inputs & features | 15% | 80 | 70 | 80 |
| Context window | 10% | 60 | 61 | 61 |
| Overall | 100% | 66/100 | 67/100 | 68/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Fable 5.1Anthropic | Mistral Large 4Mistral AI | GPT-6 AstraOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 166.4 | 150.6 | 169.1 (best) |
| ECI rank | #6 of 165 | #57 of 165 | #1 of 165 (best) |
| GPQA DiamondGraduate-level science questions | — | 88.1% | 95.8% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 90.2% | 58.6% | 93.7% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% (best) | 98.3% | 100% (best) |
| SimpleQA VerifiedShort factual questions | 70.8% | 20.0% | 75.6% (best) |
| Price per million tokens | |||
| Input | $10.00 | $0.70 (best) | $10.00 |
| Output | $50.00 | $2.10 (best) | $50.00 |
| Cached input | $0.25 | $0.07 (best) | $1.00 |
| Blended (3:1) | $20.00 | $1.05 (best) | $20.00 |
| Long-context rate | Same rate | Same rate | Over 272K: $20.00 / $75.00 |
| Price source | Official Anthropic API | Official Mistral API | Official OpenAI API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens | 1,050,000 tokens (best) |
| Max output | 128,000 tokens | 262,144 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 | No | No |
| Reasoning | Yeslow · medium · high · xhigh · max | Yeslow · medium · high | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | claude-fable-5-1 | mistral-large-4 | gpt-6-astra |
| API providers | 37 (best) | 15 | 37 (best) |
| Released | Sep 1, 2026 | Oct 6, 2026 | Sep 4, 2026 |
| Knowledge cutoff | Jun 2026 | — | Apr 30, 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Claude Fable 5.1$200.00
- Mistral Large 4$11.20
- GPT-6 Astra$200.00
Which should you choose?
Which is better: Claude Fable 5.1, Mistral Large 4 or GPT-6 Astra?
It is close. Our weighted score puts them within 1 points (GPT-6 Astra 68/100, Mistral Large 4 67/100, Claude Fable 5.1 66/100), so choose by what matters most for your work: GPT-6 Astra for raw capability and Mistral Large 4 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Fable 5.1, Mistral Large 4 or GPT-6 Astra?
Mistral Large 4 is cheaper at $0.70 input / $2.10 output per million tokens (official Mistral API price). Claude Fable 5.1 costs $10.00 input / $50.00 output per million tokens (official Anthropic API price); GPT-6 Astra costs $10.00 input / $50.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $1.05 per million tokens for Mistral Large 4 versus $20.00 for Claude Fable 5.1 (19× as much) and $20.00 for GPT-6 Astra (19× 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 Mistral Large 4 150.6 (#57 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%, Mistral Large 4 58.6%; OTIS Mock AIME 2024–2025 — Claude Fable 5.1 100%, GPT-6 Astra 100%, Mistral Large 4 98.3%; SimpleQA Verified — GPT-6 Astra 75.6%, Claude Fable 5.1 70.8%, Mistral Large 4 20.0%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Fable 5.1, Mistral Large 4 and GPT-6 Astra 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 and Mistral Large 4 have the largest context windows (1,050,000 and 1,048,576 tokens), against 1,000,000 for Claude Fable 5.1. Maximum output per response: Claude Fable 5.1 up to 128,000, Mistral Large 4 up to 262,144, GPT-6 Astra up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Claude Fable 5.1 accepts text, images and PDFs; Mistral Large 4 accepts text and images; GPT-6 Astra accepts text, images and PDFs. Claude Fable 5.1 handles the widest range of inputs.
Are any of these open source?
No. Claude Fable 5.1, Mistral Large 4 and GPT-6 Astra are proprietary and only available through APIs and apps.
Which is newer?
Mistral Large 4 is the newest, released Oct 6, 2026. GPT-6 Astra came out Sep 4, 2026; Claude Fable 5.1 came out Sep 1, 2026. Knowledge cutoff: Claude Fable 5.1 Jun 2026, GPT-6 Astra Apr 30, 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.
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