For coding agents, Claude Fable 5 costs 11x as much as DeepSeek V4 Pro per request ($0.32 vs $0.030 on our measured traffic), because Claude Fable 5 lists at $10 input, $1 cached input and $50 output per million tokens against $1.32, $0.044 and $3.96 for DeepSeek V4 Pro.
Run any of these models in your agent from $19/month
See plans| Cost at list price | DeepSeek V4 Pro | Fable 5 |
|---|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.014 | $0.16 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.036 | $0.39 |
| Prompt over 272K tokens11% of requests, 86% of input cached | $0.084 | $0.87 |
| Average request | $0.030 | $0.32 |
| 100 requests | $3.04 | $32.47 |
| Median session16 requests; a session ends after 10 idle minutes | $0.41 | $4.49 |
| A month of regular usemedian of 20 users active on 5+ days | $42.42 | $497 |
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.
| Artificial Analysis | DeepSeek V4 Pro | Fable 5 |
|---|---|---|
| Intelligence Index10 evaluations, 0 to 100 | 36 | 50 |
| Terminal-Bench 4.0agentic coding in a terminal | 14.1% | 42.4% |
| Output speedmedian | 99 tokens/s | 67 tokens/s |
| Time to first answer tokenincludes thinking time | 22 s | 2.3 min |
Source: Artificial Analysis (artificialanalysis.ai). Measured variants: DeepSeek V4 Pro 0813 (Max), speed on DeepSeek; 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.
87% of agent input is read from cache, and Claude Fable 5 charges $1 per million for it against $0.044. Claude Fable 5 is superseded: Claude Fable 5.1 costs $0.24 per request. DeepSeek figures use its peak-hour rates; the rest of the time it costs half, $1.52 per 100 requests.
Pick a winner in each dimension. You can change your vote any time. 6 votes cast so far.
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 · DeepSeek V4 Pro: model ID, providers and agent config
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Every model on this page is included with Standard Compute