head-to-head

Anthropic: Claude Haiku 5.5 (batch) vs Qwen: Qwen3.8 Omni Flash

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-08.

Anthropic: Claude Haiku 5.5 (batch) Qwen: Qwen3.8 Omni Flash
Vendoranthropicqwen
Quality Score100100
Benchmark Score73.6-
Input Price$0.05/M$0.15/M
Output Price$0.25/M$0.47/M
Context Window1,000,0001,000,000
Max Output128,000131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index71.6-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Claude Haiku 5.5 (batch) costs $0.11 and Qwen3.8 Omni Flash costs $0.27, so Claude Haiku 5.5 (batch) is about 2.4 times cheaper for the same work.

Both read up to 1,000,000 tokens at once, roughly 1,500 pages of text.

Only Qwen3.8 Omni Flash offers audio input and video input.

Across the 19 tasks where they differ, Claude Haiku 5.5 (batch) scores higher on 19 (SQL Generation, Code Review, Code Completion and others).

Claude Haiku 5.5 (batch) was released in October 2026 and Qwen3.8 Omni Flash in September 2026.

Pick Claude Haiku 5.5 (batch) if you need lower cost or the stronger all-round task scores; pick Qwen3.8 Omni Flash if you need audio input or video input.

Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.

Who wins by task?

TaskAnthropic: Claude Haiku 5.5 (batch)Qwen: Qwen3.8 Omni Flash
SQL Generation 142 133
Code Review 145 132
Code Completion 133 131
Code Refactoring 147 136
Bug Fixing 149 136
Unit Test Generation 132 124
Code Documentation 138 131
Regex Writing 127 119
CI/CD Pipelines 128 120
Frontend Component Design 130 122
Data Analysis 134 124
CSV / Spreadsheet Cleanup 136 133
ETL Scripting 138 128
Bulk Data Labeling 129 129
OCR / Document Parsing 134 131
Table Extraction from PDFs 134 131
Long-Document Summarization 149 137
Short-Form Summarization 127 123
Blog Post Writing 130 121

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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