For coding agents, Claude Fable 5 costs 5.4x as much as GPT-5.3-Codex per request ($0.30 vs $0.055 on our measured traffic), because Claude Fable 5 lists at $10 input, $1 cached input and $50 output per million tokens against $1.75, $0.175 and $14 for GPT-5.3-Codex.
Run Claude Fable 5 and Claude Fable 5.1 in your agent from $19/month
See plans| Cost at list price | GPT-5.3-Codex | Fable 5 |
|---|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.030 | $0.16 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.073 | $0.39 |
| Prompt over 272K tokens11% of requests, 86% of input cached | $0.13 | $0.75 |
| Average request | $0.055 | $0.30 |
| 100 requests | $5.55 | $29.82 |
| Median session16 requests; a session ends after 10 idle minutes | $0.74 | $3.86 |
| A month of regular usemedian of 20 users active on 5+ days | $84.36 | $461 |
Each logged request priced at the vendor’s list rates for its own token counts, including cache reads and any higher rate for long prompts. Average output: 698 tokens per request. Both models are priced on the requests up to 400K tokens that fit in both context windows; band shares above describe all requests.
| Artificial Analysis | GPT-5.3-Codex | Fable 5 |
|---|---|---|
| Intelligence Index10 evaluations, 0 to 100 | 33 (estimate) | 50 |
| Terminal-Bench 4.0agentic coding in a terminal | n/a | 42.4% |
| Output speedmedian | 113 tokens/s | 67 tokens/s |
| Time to first answer tokenincludes thinking time | 72 s | 2.3 min |
Source: Artificial Analysis (artificialanalysis.ai). Measured variants: GPT-5.3 Codex (Xhigh), speed on OpenAI; Claude Fable 5 (Max, Opus 4.8 Fallback), speed on Anthropic. Fetched October 13, 2026. Artificial Analysis runs Terminal-Bench 4.0 in its own setup, so its scores differ from the tbench.ai leaderboard.
GPT-5.3-Codex's 400K window cannot take 3% of coding-agent requests, so the comparison uses only requests both can take. Claude Fable 5 is superseded: Claude Fable 5.1 costs $0.24 per request. Claude Fable 5 scores clearly higher on the benchmarks above, so it may finish hard tasks in fewer steps.
Pick a winner in each dimension. You can change your vote any time.
Correctness and depth of what it produces
Tool calls, instruction-following, and multi-step tasks
Tokens per second and time-to-first-token
How much capability you get per dollar
Consistent results: fewer refusals, loops and format breaks
Setting it up? Claude Fable 5: model ID, providers and agent config
The agent matters as much as the model. Compare AI agents →
Current Claude, GPT, Gemini and open models are included with Standard Compute