Claude 3 Haiku vs Qwen2.5-Coder 32B Instruct
Claude 3 Haiku and Qwen2.5-Coder 32B Instruct are closely matched at -1.5 and 2.0 on the LLM Stats Score. Qwen2.5-Coder 32B Instruct is 5.6x cheaper per token.
Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Claude 3 Haiku and Qwen2.5-Coder 32B Instruct are closely matched on the overall LLM Stats Score at -1.5 and 2.0.
The models split the 6 individual benchmarks reported for both models evenly.
On price, Qwen2.5-Coder 32B Instruct is roughly 5.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3 Haiku 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 3 Haiku
- you process long inputs — it offers a 200,000 token context window
Choose Qwen2.5-Coder 32B Instruct
- cost matters — it's about 5.6x cheaper per token
- you want the most recent training data — it shipped Sep 2024
- 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
10 reported for Claude 3 Haiku · 15 for Qwen2.5-Coder 32B Instruct
Claude 3 Haiku outperforms in 3 benchmarks (ARC-C, HellaSwag, MMLU), while Qwen2.5-Coder 32B Instruct is better at 3 benchmarks (GSM8k, HumanEval, MATH).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Haiku ($0.25/1M tokens) is 2.8x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 13.9x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
In conclusion, Claude 3 Haiku is more expensive than Qwen2.5-Coder 32B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3 Haiku accepts 200,000 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while Qwen2.5-Coder 32B Instruct is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude 3 Haiku supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.
Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3 Haiku
Qwen2.5-Coder 32B Instruct
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude 3 Haiku was released on 2024-03-13, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.
Qwen2.5-Coder 32B Instruct is 6 months newer than Claude 3 Haiku.
Mar 13, 2024
2.5 years ago
Sep 19, 2024
2.0 years ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.
Claude 3 Haiku
Qwen2.5-Coder 32B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Haiku and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Haiku vs Qwen2.5-Coder 32B Instruct.