Model vs model
Claude Haiku 5.5 vs Qwen3.5 9B
At a glance
Longer bar means the bigger number.
Open or closed · can you download the model and run it yourself?
Blended price · per 1M tokens, lower is better
Intelligence Index · Artificial Analysis, higher is better
Context window · tokens it can read at once
Where they sit among all 45 models
Claude Haiku 5.5 ranks 14th of the 44 models with an Intelligence Index, Qwen3.5 9B 37th. Up and to the left is smarter for less money. Hover or tap a dot for its numbers, then click it to compare that model with Claude Haiku 5.5.
Which one to pick
Pick Claude Haiku 5.5 if
- you want the higher overall score (43.4 vs 13.3)
- you care about AA-LCR (long documents): 82.7 vs 46
- you care about Humanity's Last Exam (hard reasoning): 44.4 vs 9.4
- you need a longer context window (1M vs 262K tokens)
Pick Qwen3.5 9B if
- you want open weights you can download and run yourself
- you want the lower bill ($0.11 vs $0.20 per 1M tokens blended)
How smart is each one?
Of the 3 scores both models have, Claude Haiku 5.5 is ahead on every one.
Every intelligence score we have
Out of 100, higher is better. Claude Haiku 5.5 Qwen3.5 9B
Overall
Intelligence Index
43.413.3
By area
Coding
23.5Claude Haiku 5.5: not scored yet
By field of work
Finance & accounting
43.9Qwen3.5 9B: not scored yet
Legal
42.3Qwen3.5 9B: not scored yet
Healthcare & medicine
39.9Qwen3.5 9B: not scored yet
Economics
51.2Qwen3.5 9B: not scored yet
Engineering
44.9Qwen3.5 9B: not scored yet
Strategy & operations
40.4Qwen3.5 9B: not scored yet
Benchmarks
Factual knowledge · SimpleQA
23.8Qwen3.5 9B: not scored yet
Hard reasoning · Humanity's Last Exam
44.49.4Science · GPQA Diamond
78.6Claude Haiku 5.5: not scored yet
Scientific coding · SciCode
55Qwen3.5 9B: not scored yet
Terminal tasks · Terminal-Bench 4.0
32.8Qwen3.5 9B: not scored yet
Instruction following · IFBench
37.8Claude Haiku 5.5: not scored yet
Long documents · AA-LCR
82.746
Our tests
Hallucination test · our test, higher means it made up less
92.5Qwen3.5 9B: not scored yet
The specs
| Spec | Claude Haiku 5.5 | Qwen3.5 9B |
|---|---|---|
| Input price | $0.10 per 1M | $0.10 per 1M |
| Output price | $0.50 per 1M | $0.15 per 1M |
| Cost per test task | $0.2128 | Not tested |
| Context window | 1M | 262K |
| Max output | 128K | 33K |
| Accepts | Text, Image, PDF | Text |
| Open weights | No | Yes |
| Lab | Anthropic | Alibaba |
| Released | Oct 2026 | Mar 2026 |
| Knowledge cutoff | Jun 2026 | Not published |
Blended price weighs 3 parts input to 1 part output. List prices from models.dev. Cost per test task from Artificial Analysis.
Questions
Is Claude Haiku 5.5 or Qwen3.5 9B cheaper?
Qwen3.5 9B is cheaper. It charges $0.10 per 1M input tokens and $0.15 per 1M output tokens, against $0.10 and $0.50 for Claude Haiku 5.5. Blended 3 parts input to 1 part output, that is $0.11 against $0.20 per 1M tokens.
Are Claude Haiku 5.5 and Qwen3.5 9B open source?
Only Qwen3.5 9B. It is an open-weights model: Alibaba publishes the weights, so you can download it, run it on your own hardware or pick any host. Claude Haiku 5.5 is closed: you can only use it through an API.
Which is smarter, Claude Haiku 5.5 or Qwen3.5 9B?
Claude Haiku 5.5 scores higher on the Artificial Analysis Intelligence Index, 43.4 against 13.3 for Qwen3.5 9B. The biggest differences are on AA-LCR (82.7 vs 46) and Humanity's Last Exam (44.4 vs 9.4).
Which has the longer context window?
Claude Haiku 5.5 accepts 1M tokens, against 262K for Qwen3.5 9B.
Can I compare Claude Haiku 5.5 and Qwen3.5 9B on my own prompt?
Yes. ModelCompare sends one prompt to both models at once and shows each answer side by side with what it cost. You can try it free without an account.
Related comparisons
Where the numbers come from
Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except SimpleQA, which is from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard. The hallucination test is ours: questions with one exact answer, fake evidence pushed against right answers and requests that tempt a model to name packages that don’t exist. Prices are list prices from models.dev. Example answers come from our own test runs. Updated October 26, 2026.