Claude Fable 5 vs DeepSeek-V4-Pro

Compare Claude Fable 5 and DeepSeek-V4-Pro on the metrics that decide an agent workload.

MetricClaude Fable 5DeepSeek-V4-Pro
ProviderAnthropicFireworks AI
Input / 1M$10.00$1.74
Output / 1M$50.00$3.48
Cache read / 1M$1.00 (−90%)$0.14 (−92%)
Reuse-adj @55%$16.29$1.52
Context1M1M
Cache capture93%80%
Warm TTFT280ms (−70%)130ms (−63%)
Quality index9888

Teal marks the better value in each row. Reuse-adjusted assumes 55% prefix reuse and a 25% output share.

Pick Claude Fable 5 when

Pick Claude Fable 5 when it scores higher on the composite quality index, it captures more of the available reuse.

Pick DeepSeek-V4-Pro when

Pick DeepSeek-V4-Pro when it is cheaper once prefix reuse is priced in, it answers faster on warm cache hits, it is open-weights for on-prem and regulated lanes.

Verdict

Claude Fable 5 leads on quality while DeepSeek-V4-Pro leads on reuse-adjusted cost. Send latency- and budget-sensitive volume to DeepSeek-V4-Pro and reserve Claude Fable 5 for the hard requests. Zumik's aliases route between them automatically under policy.

Claude Fable 5 vs DeepSeek-V4-Pro, answered.

Is Claude Fable 5 or DeepSeek-V4-Pro cheaper?

At 55% prefix reuse, Claude Fable 5 blends to about $16.29 per 1M tokens and DeepSeek-V4-Pro to about $1.52. DeepSeek-V4-Pro is cheaper on that basis.

Which has the larger context window?

Claude Fable 5 has the larger window: 1M vs 1M tokens.

Which captures more reuse?

Claude Fable 5 shows higher measured cache capture (93% vs 80%) in the Zumik corpus.

Let an alias pick for you.

Route to whichever model wins under current policy automatically. Zumik resolves the alias to the best fit per request, so you never hard-code a loser.