Claude Fable 5.1 vs GPT-6 Astra: Same Price, Different Jobs?

Claude Fable 5.1 takes the edge on overall smarts, but GPT-6 Astra fights back hard on coding. At identical pricing, this comes down to what you actually need. Fable 5.1's 66 Artificial Analysis score beats Astra's 61, yet that gap won't matter if your work lives in a codebase.

Benchmarks and real scores

The Artificial Analysis index gives Claude Fable 5.1 a 66, with GPT-6 Astra at 61. That's a real lead, but not a blowout. On DeepSWE coding tests, Astra answers back with 74.1% versus Gemini 3.8 Flash's 73.8% — a result that suggests Astra is built for engineering tasks even if the general intelligence score lags. Keep in mind these tests use different harnesses and settings, so treat them as directional.

Price: a dead tie

Both models cost the same: $10.00 per 1M input tokens and $50.00 per 1M output tokens. That makes the choice purely about fit, not budget. You aren't paying a premium for Fable's higher score, and you aren't getting a discount for Astra's coding lean. The dollar-for-dollar value is identical, so pick the one that handles your workload better.

Which workload wins

For writing, analysis, and open-ended reasoning, Claude Fable 5.1 is the safer bet. Its higher Artificial Analysis score points to stronger general capability. For generating code, reviewing pull requests, or debugging, GPT-6 Astra looks like the more reliable puncher. Synthetic benchmark scores alone shouldn't decide it — run both on your own tasks before committing.

Verdict: which one should you pick?

Pick Claude Fable 5.1 if you want the best all-around model for the price. Pick GPT-6 Astra if coding is your daily grind and you want a model that keeps up. Same cost, genuinely different strengths, and neither choice is wrong.