Claude Haiku 4.5 vs DeepSeek-V4-Pro
Compare Claude Haiku 4.5 and DeepSeek-V4-Pro on the metrics that decide an agent workload.
| Metric | Claude Haiku 4.5 | DeepSeek-V4-Pro |
|---|---|---|
| Provider | Anthropic | Fireworks AI |
| Input / 1M | $1.00 | $1.74 |
| Output / 1M | $5.00 | $3.48 |
| Cache read / 1M | $0.10 (−90%) | $0.14 (−92%) |
| Reuse-adj @55% | $1.63 | $1.52 |
| Context | 200K | 1M |
| Cache capture | 90% | 80% |
| Warm TTFT | 110ms (−66%) | 130ms (−63%) |
| Quality index | 80 | 88 |
Teal marks the better value in each row. Reuse-adjusted assumes 55% prefix reuse and a 25% output share.
Pick Claude Haiku 4.5 when it answers faster on warm cache hits, it captures more of the available reuse.
Pick DeepSeek-V4-Pro when it scores higher on the composite quality index, it is cheaper once prefix reuse is priced in, it carries the larger 1M context window.
DeepSeek-V4-Pro wins on both reuse-adjusted cost and quality here, so it is the default pick. Reach for Claude Haiku 4.5 only when a specific constraint (modality, latency floor, or licensing) forces it.
Claude Haiku 4.5 vs DeepSeek-V4-Pro, answered.
Is Claude Haiku 4.5 or DeepSeek-V4-Pro cheaper?
At 55% prefix reuse, Claude Haiku 4.5 blends to about $1.63 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?
DeepSeek-V4-Pro has the larger window: 1M vs 200K tokens.
Which captures more reuse?
Claude Haiku 4.5 shows higher measured cache capture (90% 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.