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Claude Haiku 5.5 vs Qwen3-Coder

Comparing Claude Haiku 5.5 and Qwen3-Coder across benchmarks, pricing, and capabilities.

Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Claude Haiku 5.5 and Qwen3-Coder trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Qwen3-Coder is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Haiku 5.5 also accepts a larger context window (1,000,000 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 5.5

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3-Coder

  • cost matters — it's about 1.1x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
—
—
Input price
$0.10 / M
$0.18 / M
Output price
$0.50 / M
$0.18 / M
Context window
1,000,000
256,000

Individual benchmarks

36 reported for Claude Haiku 5.5 · 0 for Qwen3-Coder

No common benchmarks found

Claude Haiku 5.5 and Qwen3-Coderdon'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

Qwen3-Coder costs less

For input processing, Claude Haiku 5.5 ($0.10/1M tokens) is 1.8x cheaper than Qwen3-Coder ($0.18/1M tokens).

For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 2.8x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, Claude Haiku 5.5 is more expensive than Qwen3-Coder.*

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

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
Anthropic
Claude Haiku 5.5
Input tokens$0.10
Output tokens$0.50
Best providerAnthropic
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input tokens$0.18
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Claude Haiku 5.5 accepts 1,000,000 input tokens compared to Qwen3-Coder's 256,000 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while Claude Haiku 5.5 is limited to 128,000 tokens.

Anthropic
Claude Haiku 5.5
Input1,000,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Haiku 5.5 supports multimodal inputs, whereas Qwen3-Coder does not.

Claude Haiku 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Haiku 5.5

Text
Images
Audio
Video

Qwen3-Coder

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 5.5 is licensed under a proprietary license, while Qwen3-Coder uses Apache 2.0.

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

Claude Haiku 5.5

Proprietary

Closed source

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while Qwen3-Coder was released on 2025-01-01.

Claude Haiku 5.5 is 21 months newer than Qwen3-Coder.

Claude Haiku 5.5

Oct 7, 2026

1 weeks ago

1.8yr newer
Qwen3-Coder

Jan 1, 2025

1.8 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Qwen3-Coder's cutoff date is not specified.

We can confirm Claude Haiku 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without Qwen3-Coder's cutoff date.

Claude Haiku 5.5

Jun 2026

Qwen3-Coder

—

Provider Availability

Claude Haiku 5.5 is available from Anthropic. Qwen3-Coder is available from DeepInfra, Fireworks.

Claude Haiku 5.5

anthropic logo
Anthropic
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Qwen3-Coder

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and Qwen3-Coder side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Qwen3-Coder
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Qwen3-Coder.

Which is better, Claude Haiku 5.5 or Qwen3-Coder?

Claude Haiku 5.5 (Anthropic) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Claude Haiku 5.5 compare to Qwen3-Coder in benchmarks?

Claude Haiku 5.5 scores Global-MMLU: 87.8%, MILU: 87.6%, BenchCAD (with Python tool): 87.0%, Chartography: 86.2%, SWE-bench Multilingual: 83.7%.

Is Claude Haiku 5.5 cheaper than Qwen3-Coder?

Claude Haiku 5.5 is 1.8x cheaper for input tokens. Claude Haiku 5.5 costs $0.10/M input and $0.50/M output via anthropic. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.

What are the context window sizes for Claude Haiku 5.5 and Qwen3-Coder?

Claude Haiku 5.5 supports 1.0M tokens and Qwen3-Coder supports 256K 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 5.5 and Qwen3-Coder?

Key differences include context window (1.0M vs 256K), input pricing ($0.10 vs $0.18/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 5.5 and Qwen3-Coder?

Claude Haiku 5.5 is developed by Anthropic and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.