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Anthropic

Claude Haiku 4.5

VS
DeepSeek

DeepSeek V4 Pro

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, DeepSeek V4 Pro is the premium intelligence choice, scoring 12.6% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Claude Haiku 4.5 is 1.1x cheaper to run and delivers 2.5x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Claude Haiku 4.5 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of DeepSeek V4 Pro fully justifies the cost.

Model Specs

Claude Haiku 4.5

Benchmarks & Scores

Coding (swe-bench-pro)
39.5%
Reasoning (gpqa-diamond)
73%

Cost & Performance

Cost (per 1M tokens)1.1x cheaper
$2.00Input: $1.00 | Output: $5.00
Speed2.5x faster
98.5 tps
Context Window
200k tokens
Model Specs

DeepSeek V4 Pro

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+12.6%)
52.1%
Reasoning (gpqa-diamond)Winner (+15.0%)
88%

Cost & Performance

Cost (per 1M tokens)
$2.17Input: $1.74 | Output: $3.48
Speed
39.7 tps
Context WindowLarger
1M tokens
Read our data collection methodology

Frequently Asked Questions

Claude Haiku 4.5 is cheaper than DeepSeek V4 Pro. Claude Haiku 4.5 has a blended cost of $2.00/1M tokens, which is about 1.1x cheaper than DeepSeek V4 Pro at $2.17/1M tokens.

Claude Haiku 4.5 is faster than DeepSeek V4 Pro. Claude Haiku 4.5 generates 98.5 tokens per second (tps) compared to DeepSeek V4 Pro which generates 39.7 tokens per second.

DeepSeek V4 Pro is better for coding tasks. It scores 52.1% on coding evaluations (swe-bench-pro) compared to Claude Haiku 4.5 which scores 39.5%.

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