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- Claude Haiku 5.5 vs. Qwen 3.8 27B
AnthropicAlibabaLLM matchup
Claude Haiku 5.5vs.Qwen 3.8 27B
Which one is better?
Claude Haiku 5.5 performs better than Qwen 3.8 27B and is cheaper: Qwen 3.8 27B costs 2.4 times (input) and 4.4 times (output) as much.
Claude Haiku 5.5
Rank 20
Qwen 3.8 27B
Rank 50
Claude Haiku 5.5
Qwen 3.8 27B
Claude Haiku 5.5
Qwen 3.8 27B
Claude Haiku 5.5
Rank 3 of 875
Qwen 3.8 27B
Rank 11 of 875
Above 100,000 tokens of context, Claude Haiku 5.5 costs more: $0.50 input and $2.50 output per 1M tokens.
Choose Claude Haiku 5.5 for
Choose Qwen 3.8 27B for
No clear advantage
On this page
Where is the difference?
Strengths at a glance
Haiku 5.5Qwen 3.8 27B
The median of all ranked models is below 100 in every area, so it sits in the centre of the net.
95 % range: Haiku 5.5 102.5 to 109.9, Qwen 3.8 27B 75.5 to 90.9.
The same values and verdicts as the bars below. In the top field the net starts at 100 points, the reference group average; values below sit as a hollow point in the centre. Not in the net because a model has no own value there or the data are too thin: Multimodal.
Haiku 5.5 is ahead in 7 of 10 areas, Qwen 3.8 27B in none.
Haiku 5.5 ahead: 7Haiku 5.5 slightly ahead: 2too little data: 1
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Show 3 more areas that do not count toward the overall index
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Claude Haiku 5.5 vs. Qwen 3.8 27B at the same effort
Both models measured at the same reasoning efforts. This shows whether a lead comes from the model or only from more compute.
| Effort | Haiku 5.5 | Qwen 3.8 27B | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| low | 80.8 | 73.8 | 8.8 | Haiku 5.5 slightly ahead | 11 |
| medium | 90.4 | 77.7 | 14.3 | Haiku 5.5 ahead | 11 |
| xhigh | 101.3 | 82.8 | 20.1 | Haiku 5.5 ahead | 11 |
| Overall index (max vs. xhigh) | 103.4 | 82.8 | 20.6 | Haiku 5.5 ahead |
Gap and verdict compare only the Artificial Analysis test series in which both models are measured at that effort. Tied below 3 points, ahead only beyond two standard errors. The single values rest on all test series of each model, so their difference can deviate from the gap.
Which model for which task?
Everyday tasks, translated from the area values above. Each row names the values it rests on.
See for yourself: same task, one attempt
SVG short test
One SVG task with the same fixed settings for every model, without hidden thinking.
Prompt
Return only one standalone SVG of a pelican riding a bicycle. Use viewBox="0 0 800 600", simple shapes, two clearly visible wheels and a recognizable pelican with a long beak. At most 30 SVG elements and 1800 characters. No Markdown, explanations, comments, scripts, animation, CSS or external resources.
Claude Haiku 5.5
Unavailable in this round
Qwen 3.8 27B

Oct 14, 2026 · $0.0022
Test details
- Test run
- Oct 14, 2026
- Provider
- alibaba
- API model
- qwen/qwen3.8-27b
- Output
- 865 tokens
- Reasoning
- API reports 0 reasoning tokens
- Cost of the attempt
- $0.0022
- Test round
- 43b8c5c46830
Earlier tests
This is the lowest documented setting for each provider. It does not make compute comparable across models.
Claude Haiku 5.5
Not tested yet
Qwen 3.8 27B
The response reached the token limit. No complete recording is available.
Oct 11, 2026 · 119 s · $0.02
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Test details
- Run date
- Oct 11, 2026
- API provider
- Alibaba
- Requested API model
- qwen/qwen3.8-27b
- Reasoning setting
- disabled (enabled: false)
- Token limit including reasoning
- 8,192 tokens
- Reasoning tokens
- 0
- Output tokens
- 8,192 tokens
- Cost of the attempt
- $0.0209
- Response time
- 119.1 s
- API model reported in response
- qwen/qwen3.8-27b
- Pinned endpoint
- Alibaba | qwen/qwen3.8-27b-20260814
- Temperature
- Provider default
- Test protocol
- community-visual-low-v1
- Technical checks
- Failed
Claude Haiku 5.5 and Qwen 3.8 27B in the overall index
Every model with a place in the overall index, both models of this matchup highlighted. You can add or hide other models.
Overall index (Gradually Meta-Score v4)
20 of 91 models
5 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.
Popularity compared
How often the models are searched for, used and mentioned, on a scale from 0 to 100.
Claude Haiku 5.5 is more popular than Qwen 3.8 27B: 77 to 70 out of 100.
Over time
Weekly values from October 18, 2026 to November 5, 2026
Claude Haiku 5.5Qwen 3.8 27B
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Claude Haiku 5.5 | Qwen 3.8 27B |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 103.4 | 82.8 |
| Rank | Rank 20 of 91 | Rank 50 of 91 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.10above 100,000 tokens: $0.50 | $0.24 |
| Outputwhat the model writes | $0.50above 100,000 tokens: $2.50 | $2.20 |
| Speed | ||
| Tokens per second | 236 | 45 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 77Rank 3 of 875 | 70Rank 11 of 875 |
| Technical | ||
| Context windowhow much text the model reads at once | 1 M tokens≈ 1,500 A4 pages | 262,144 tokens≈ 390 A4 pages |
| Knowledge cutoff | June 2026 | n/a |
| Released | Oct 7, 2026 | Aug 14, 2026 |
| Availability | Active | Active |
| Open weights | no | yes |
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Is there a better choice?
Overall index 98.3, rank 31. $0.14 input and $0.28 output per 1M tokens.
View profileOverall index 126.1, rank 1. $4 input and $20 output per 1M tokens.
Haiku 5.5 vs. Claude Opus 5.5Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: Claude Haiku 5.5B: Qwen 3.8 27B
Show 54 more benchmarks
More comparisons
Compare Claude Haiku 5.5 and Qwen 3.8 27B with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1Claude Haiku 5.5 vs. GPT-6 Luna
- 2Claude Sonnet 5.5 vs. Claude Haiku 5.5
- 3Claude Haiku 5.5 vs. DeepSeek V4.1 Flash 1017
- 4Claude Haiku 5.5 vs. DeepSeek-V4-Flash
- 5Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
- 6DeepSeek V4.1 Flash 1017 vs. Qwen 3.8 27B
- 7Claude Opus 5.5 vs. Claude Haiku 5.5
- 8GPT-6.1 Terra vs. Qwen 3.8 27B
- 9Claude Haiku 5.5 vs. GLM-5.3
Show all 43 comparisons
- 10Claude Haiku 5.5 vs. Gemini 3.5 Flash-Lite
- 11Claude Haiku 5.5 vs. Gemini 3.8 Flash
- 12Claude Haiku 5.5 vs. Claude Sonnet 4.5
- 13Claude Haiku 5.5 vs. Claude Sonnet 5
- 14Qwen 3.8 27B vs. Mistral Large 4
- 15Claude Haiku 5.5 vs. Claude Opus 5
- 16Claude Haiku 5.5 vs. GPT-6 Astra
- 17Claude Haiku 5.5 vs. Gemini 3.5 Flash
- 18Claude Haiku 5.5 vs. Claude Opus 4.8
- 19Claude Haiku 5.5 vs. Gemini 4 Argon
- 20Claude Haiku 5.5 vs. Grok 4.7
- 21Claude Haiku 5.5 vs. GPT-5.6 Luna
- 22Claude Haiku 5.5 vs. Qwen 3.8 Max 0902
- 23Claude Haiku 5.5 vs. Muse Spark 1.3
- 24Claude Haiku 5.5 vs. Claude Sonnet 4.6
- 25Claude Haiku 5.5 vs. Gemini 3.7 Flash
- 26Claude Opus 5.5 vs. Qwen 3.8 27B
- 27Claude Haiku 5.5 vs. Mistral Large 4
- 28DeepSeek-V4-Flash vs. Qwen 3.8 27B
- 29Claude Haiku 5.5 vs. GPT-6.1 Sol
- 30Gemini 3.8 Flash vs. Qwen 3.8 27B
- 31Claude Haiku 5.5 vs. Gemini 3.1 Pro Preview
- 32Claude Haiku 5.5 vs. GLM-5.3-Flash
- 33Claude Haiku 5.5 vs. DeepSeek-V4-Pro
- 34Claude Haiku 5.5 vs. GPT-5.6 Sol
- 35Claude Haiku 5.5 vs. Gemini 3.6 Flash
- 36Claude Sonnet 5.5 vs. Qwen 3.8 27B
- 37Claude Haiku 5.5 vs. Claude Opus 4.6
- 38Claude Haiku 5.5 vs. Kimi K2.6
- 39Claude Haiku 5.5 vs. Claude Opus 4.7
- 40Claude Haiku 5.5 vs. Mistral Large 3
- 41Claude Opus 4.6 vs. Qwen 3.8 27B
- 42Claude Haiku 5.5 vs. GPT-5.5
- 43Claude Haiku 5.5 vs. GPT-6.1 Terra