Claude Haiku 4.5 vs DeepSeek-V4-Flash-0731
DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to 25.7. DeepSeek-V4-Flash-0731 is 22.2x cheaper per token.
Anthropic · DeepSeek · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 44.7 to 25.7, ranking #35 overall.
On price, DeepSeek-V4-Flash-0731 is roughly 22.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Haiku 4.5
- you want predictable pricing at $1.00/M input and $5.00/M output
Choose DeepSeek-V4-Flash-0731
- overall performance matters — it scores 44.7 and ranks #35 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 22.2x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for Claude Haiku 4.5 · 9 for DeepSeek-V4-Flash-0731
Claude Haiku 4.5 and DeepSeek-V4-Flash-0731don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 16.7x more expensive than DeepSeek-V4-Flash-0731 ($0.06/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 27.8x more expensive than DeepSeek-V4-Flash-0731 ($0.18/1M tokens).
In conclusion, Claude Haiku 4.5 is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Claude Haiku 4.5's 200,000 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Haiku 4.5 supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 4.5
DeepSeek-V4-Flash-0731
License
Usage and distribution terms
Claude Haiku 4.5 is licensed under a proprietary license, while DeepSeek-V4-Flash-0731 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Haiku 4.5 was released on 2025-10-15, while DeepSeek-V4-Flash-0731 was released on 2026-07-31.
DeepSeek-V4-Flash-0731 is 10 months newer than Claude Haiku 4.5.
Oct 15, 2025
11 months ago
Jul 31, 2026
1 months ago
9mo newerKnowledge Cutoff
When training data ends
Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while DeepSeek-V4-Flash-0731's cutoff date is not specified.
We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without DeepSeek-V4-Flash-0731's cutoff date.
Feb 2025
—
Provider Availability
Claude Haiku 4.5 is available from Anthropic, DeepInfra, Vertex AI. DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks.
Claude Haiku 4.5
DeepSeek-V4-Flash-0731
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 4.5 and DeepSeek-V4-Flash-0731 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 4.5 vs DeepSeek-V4-Flash-0731.