Claude Fable 5.2 vs GPT-6 Astra
Claude Fable 5.2 is 1.3x cheaper than GPT-6 Astra on our example workload, at list prices.
Side by side
| Measure | Claude Fable 5.2 | GPT-6 Astra |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Input / 1M tokens | $8.00 | $10.00 |
| Output / 1M tokens | $40.00 | $50.00 |
| Output price ÷ input price | 5.0x | 5.0x |
| Blended / 1M (3:1) | $16.00 | $20.00 |
| Context window | 1M | 1.05M |
| ≈ English words that fit | 750,000 | 788,000 |
| 1,000 calls (2000+500 tok) | $36.00 | $45.00 |
| AA Intelligence Index | 65 | 57 |
| LMArena Text | Not on LMArena yet | 1474 |
| Blended $ per AA index point | $0.246 | $0.351 |
List prices from official pages (Anthropic, OpenAI), verified 2026-11-10. Benchmarks from public leaderboards (Artificial Analysis, LMArena), not run by us. Word counts use the rough 0.75 words per token rule for English. "$ per index point" is our own arithmetic (blended price ÷ index score), a rough value-for-money signal, not a benchmark.
What real workloads cost
Four example request shapes, priced at list rates with no caching or batch discounts. Monthly figures assume 100,000 requests.
| Workload | Claude Fable 5.2 | GPT-6 Astra | Gap |
|---|---|---|---|
| Support chat reply a short system prompt, recent chat history and a reply | $0.0360 each $3,600.00 / mo | $0.0450 each $4,500.00 / mo | 1.3x |
| RAG answer a question plus about 20K tokens of retrieved documents, and a cited answer | $0.1920 each $19,200.00 / mo | $0.2400 each $24,000.00 / mo | 1.3x |
| 10-step agent task an agent loop of 10 model calls, each re-reading about 8K tokens of context and emitting a 400-token tool call | $0.8000 each $80,000.00 / mo | $1.00 each $100,000.00 / mo | 1.3x |
| Long-report summary one 200K-token document summarized into about 2K tokens | $1.68 each $168,000.00 / mo | $2.10 each $210,000.00 / mo | 1.3x |
When to pick each
- Pick Claude Fable 5.2 when cost is the main constraint: at list prices it is 1.3x cheaper than GPT-6 Astra on a typical 2,000-in / 500-out call ($36.00 vs $45.00 per 1,000 calls).
- Pick Claude Fable 5.2 when answer quality matters more than price: it scores 65 vs 57 on the Artificial Analysis Intelligence Index, and is also the cheaper model here, so it wins on both counts.
- Pick GPT-6 Astra if a single prompt can exceed 1M tokens (about 750,000 English words): its window is 1.05M.
- They come from different providers (Anthropic and OpenAI), so switching means a second API key, SDK and billing account, and tool-calling formats differ. Our schema converter outputs both formats from one JSON Schema.
Context and pricing limits
- Claude Fable 5.2: 1M tokens of context. GPT-6 Astra: 1.05M. GPT-6 Astra holds 1.1x more.
- GPT-6 Astra: Short-context (<=272K input) price. The prices above are this tier; check the official pricing page before committing.
- Cached input, batch and off-peak discounts can cut real bills a lot and differ by provider; they are not included here.
FAQ
Is Claude Fable 5.2 cheaper than GPT-6 Astra?
Yes, on our 2000-in / 500-out example call it costs $0.0360 vs $0.0450, 1.3x less.
Which has the larger context window?
GPT-6 Astra, with 1.05M tokens vs 1M.
Which scores higher on benchmarks?
Claude Fable 5.2 scores 65 vs 57 on the Artificial Analysis Intelligence Index. LMArena Text: Claude Fable 5.2 not on LMArena yet, GPT-6 Astra 1474. Benchmarks are averages; test both on your own prompts.
Run your own numbers in the token cost estimator · Claude Fable 5.2 pricing · GPT-6 Astra pricing · All comparisons