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Claude Haiku 4.5 vs DeepSeek-V3.2 (Thinking)

DeepSeek-V3.2 (Thinking) leads the LLM Stats Score 32.2 to 25.2. DeepSeek-V3.2 (Thinking) is 6.3x cheaper per token.

Anthropic · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V3.2 (Thinking) leads the overall LLM Stats Score 32.2 to 25.2, ranking #127 overall.

In the 3 individual benchmarks reported for both models, DeepSeek-V3.2 (Thinking) wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V3.2 (Thinking) is roughly 6.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Haiku 4.5 also accepts a larger context window (200,000 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 process long inputs — it offers a 200,000 token context window

Choose DeepSeek-V3.2 (Thinking)

  • overall performance matters — it scores 32.2 and ranks #127 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • cost matters — it's about 6.3x cheaper per token
  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude Haiku 4.5
Anthropic
DeepSeek-V3.2 (Thinking)
DeepSeek
Core performance indexes
LLM Stats Score
25.2
#180
32.2
#127
Reasoning
24.9
#177
32.2
#124
Coding
19.4
#120
22.7
#97
Agents
13.2
#115
10.9
#135
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$1.00 / M
$0.28 / M
Output price
$5.00 / M
$0.42 / M
Context window
200,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Claude Haiku 4.5
DeepSeek-V3.2 (Thinking)
Math
15.6#226
30.0#83
Tool use
14.4#111
9.8#146
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for Claude Haiku 4.5 · 14 for DeepSeek-V3.2 (Thinking)

3 shared

Claude Haiku 4.5 outperforms in 1 benchmarks (SWE-Bench Verified), while DeepSeek-V3.2 (Thinking) is better at 2 benchmarks (AIME 2025, GPQA).

DeepSeek-V3.2 (Thinking) shows notably better performance in the majority of benchmarks.

Sat Oct 24 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 (Thinking) costs less

For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 3.6x more expensive than DeepSeek-V3.2 (Thinking) ($0.28/1M tokens).

For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 11.9x more expensive than DeepSeek-V3.2 (Thinking) ($0.42/1M tokens).

In conclusion, Claude Haiku 4.5 is more expensive than DeepSeek-V3.2 (Thinking).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Oct 24 2026 • llm-stats.com
Anthropic
Claude Haiku 4.5
Input tokens$1.00
Output tokens$5.00
Best providerAnthropic
DeepSeek
DeepSeek-V3.2 (Thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Claude Haiku 4.5 accepts 200,000 input tokens compared to DeepSeek-V3.2 (Thinking)'s 131,072 tokens. DeepSeek-V3.2 (Thinking) can generate longer responses up to 65,536 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.

Anthropic
Claude Haiku 4.5
Input200,000 tokens
Output64,000 tokens
DeepSeek
DeepSeek-V3.2 (Thinking)
Input131,072 tokens
Output65,536 tokens
Sat Oct 24 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Haiku 4.5 supports multimodal inputs, whereas DeepSeek-V3.2 (Thinking) 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

Text
Images
Audio
Video

DeepSeek-V3.2 (Thinking)

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 4.5 is licensed under a proprietary license, while DeepSeek-V3.2 (Thinking) uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Claude Haiku 4.5

Proprietary

Closed source

DeepSeek-V3.2 (Thinking)

MIT

Open weights

Release Timeline

When each model was launched

Claude Haiku 4.5 was released on 2025-10-15, while DeepSeek-V3.2 (Thinking) was released on 2025-12-01.

DeepSeek-V3.2 (Thinking) is 2 months newer than Claude Haiku 4.5.

Claude Haiku 4.5

Oct 15, 2025

1.0 years ago

DeepSeek-V3.2 (Thinking)

Dec 1, 2025

10 months ago

1mo newer

Knowledge Cutoff

When training data ends

Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while DeepSeek-V3.2 (Thinking)'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-V3.2 (Thinking)'s cutoff date.

Claude Haiku 4.5

Feb 2025

DeepSeek-V3.2 (Thinking)

—

Provider Availability

Claude Haiku 4.5 is available from Anthropic, DeepInfra, Vertex AI. DeepSeek-V3.2 (Thinking) is available from DeepSeek.

Claude Haiku 4.5

anthropic logo
Anthropic
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M
vertex logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M

DeepSeek-V3.2 (Thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 4.5 and DeepSeek-V3.2 (Thinking) side-by-side, then vote on the output you prefer.

Claude Haiku 4.5
✓ Preferred
DeepSeek-V3.2 (Thinking)
Open in Playground

FAQ

Common questions about Claude Haiku 4.5 vs DeepSeek-V3.2 (Thinking).

Which is better, Claude Haiku 4.5 or DeepSeek-V3.2 (Thinking)?

DeepSeek-V3.2 (Thinking) leads the LLM Stats Score 32.2 to 25.2. Claude Haiku 4.5 is made by Anthropic and DeepSeek-V3.2 (Thinking) is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude Haiku 4.5 compare to DeepSeek-V3.2 (Thinking) in benchmarks?

Claude Haiku 4.5 scores Tau2 Retail: 83.2%, MMMLU: 83.0%, Tau2 Telecom: 83.0%, AIME 2025: 80.7%, SWE-Bench Verified: 73.3%. DeepSeek-V3.2 (Thinking) scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%.

Is Claude Haiku 4.5 cheaper than DeepSeek-V3.2 (Thinking)?

DeepSeek-V3.2 (Thinking) is 3.6x cheaper for input tokens. Claude Haiku 4.5 costs $1.00/M input and $5.00/M output via anthropic. DeepSeek-V3.2 (Thinking) costs $0.28/M input and $0.42/M output via deepseek.

What are the context window sizes for Claude Haiku 4.5 and DeepSeek-V3.2 (Thinking)?

Claude Haiku 4.5 supports 200K tokens and DeepSeek-V3.2 (Thinking) supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Haiku 4.5 and DeepSeek-V3.2 (Thinking)?

Key differences include LLM Stats Score (25.2 vs 32.2), context window (200K vs 131K), input pricing ($1.00 vs $0.28/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 4.5 and DeepSeek-V3.2 (Thinking)?

Claude Haiku 4.5 is developed by Anthropic and DeepSeek-V3.2 (Thinking) is developed by DeepSeek.

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