- Home
- LLM comparison
- Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
AnthropicDeepSeekLLM matchup
Claude Haiku 5.5vs.DeepSeek-V4.1-Flash
Which one is better?
Claude Haiku 5.5 and DeepSeek-V4.1-Flash perform about equally well, but DeepSeek-V4.1-Flash costs 1.5 times (input) and 1.2 times (output) as much.
Claude Haiku 5.5
Rank 20
DeepSeek-V4.1-Flash
Rank 29
Claude Haiku 5.5
DeepSeek-V4.1-Flash
Claude Haiku 5.5
DeepSeek-V4.1-Flash
Claude Haiku 5.5
Rank 3 of 875
DeepSeek-V4.1-Flash
Rank 298 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 DeepSeek-V4.1-Flash for
On this page
Where is the difference?
Strengths at a glance
Haiku 5.5DeepSeek-V4.1-Flash
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, DeepSeek-V4.1-Flash 91.4 to 106.3.
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: Reasoning, Knowledge, Multimodal.
Haiku 5.5 is ahead in 4 of 10 areas, DeepSeek-V4.1-Flash in none.
Haiku 5.5 ahead: 4level: 2too little data: 3DeepSeek-V4.1-Flash slightly ahead: 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. DeepSeek-V4.1-Flash 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 | DeepSeek-V4.1-Flash | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| max | 103.4 | 99.7 | 6.6 | Haiku 5.5 slightly ahead | 3 |
| Overall index (max vs. max) | 103.4 | 99.7 | 3.6 | Haiku 5.5 slightly 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
DeepSeek-V4.1-Flash

Oct 14, 2026 · $0.0001
Test details
- Test run
- Oct 14, 2026
- Provider
- decart/fp4
- API model
- deepseek/deepseek-v4.1-flash
- Output
- 590 tokens
- Reasoning
- API reports 0 reasoning tokens
- Cost of the attempt
- $0.0001
- Test round
- 43b8c5c46830
Earlier tests
Claude Haiku 5.5
Not tested yet
DeepSeek-V4.1-Flash
The response reached the token limit. No complete recording is available.
Oct 5, 2026 · 26 s · $0.0049
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Test details
- Run date
- Oct 5, 2026
- API provider
- openrouter
- Requested API model
- deepseek/deepseek-v4.1-flash
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 8,191 tokens
- Cost of the attempt
- $0.0049
- Response time
- 25.8 s
- API model reported in response
- deepseek/deepseek-v4.1-flash
- Pinned endpoint
- DeepSeek | deepseek/deepseek-v4.1-flash-20260910
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Failed
Earlier attempts (2)
- Oct 2, 2026API request failedReasoning setting: high
- Oct 1, 2026API request failedReasoning setting: high
Claude Haiku 5.5 and DeepSeek-V4.1-Flash 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
4 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 DeepSeek-V4.1-Flash: 77 to 38 out of 100.
Over time
Weekly values from October 18, 2026 to November 5, 2026
Claude Haiku 5.5DeepSeek-V4.1-Flash
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 | DeepSeek-V4.1-Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 103.4 | 99.7 |
| Rank | Rank 20 of 91 | Rank 29 of 91 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.10above 100,000 tokens: $0.50 | $0.15 |
| Outputwhat the model writes | $0.50above 100,000 tokens: $2.50 | $0.60 |
| Speed | ||
| Tokens per second | 236 | 176 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 77Rank 3 of 875 | 38Rank 298 of 875 |
| Technical | ||
| Context windowhow much text the model reads at once | 1 M tokens≈ 1,500 A4 pages | 1 M tokens≈ 1,500 A4 pages |
| Knowledge cutoff | June 2026 | n/a |
| Released | Oct 7, 2026 | Sep 10, 2026 |
| Availability | Active | Active |
| Open weights | no | yes |
- DeepSeek-V4.1-Flash: At peak times (Mon, Tue, Wed, Thu, Fri, 01:00-04:00 UTC; Mon, Tue, Wed, Thu, Fri, 06:00-10:00 UTC) the price is $0.30 input and $1.20 output per 1M tokens. The table shows the off-peak price.
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Is there a better choice?
Overall index 106.6, rank 17. $0.15 input and $0.60 output per 1M tokens.
Haiku 5.5 vs. DeepSeek V4.1 Flash 1017Overall 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: DeepSeek-V4.1-Flash
Show 54 more benchmarks
More comparisons
Compare Claude Haiku 5.5 and DeepSeek-V4.1-Flash 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 Opus 5.5 vs. DeepSeek-V4.1-Flash
- 3Gemini 3.8 Flash vs. DeepSeek-V4.1-Flash
- 4Claude Sonnet 5.5 vs. Claude Haiku 5.5
- 5Claude Haiku 5.5 vs. DeepSeek V4.1 Flash 1017
- 6GPT-6 Luna vs. DeepSeek-V4.1-Flash
- 7Claude Haiku 5.5 vs. DeepSeek-V4-Flash
- 8Muse Spark 1.3 vs. DeepSeek-V4.1-Flash
- 9Claude Sonnet 5.5 vs. DeepSeek-V4.1-Flash
Show all 75 comparisons
- 10GPT-6 Sol vs. DeepSeek-V4.1-Flash
- 11GPT-6 Astra vs. DeepSeek-V4.1-Flash
- 12Claude Opus 5.5 vs. Claude Haiku 5.5
- 13Claude Sonnet 5 vs. DeepSeek-V4.1-Flash
- 14Grok 4.7 vs. DeepSeek-V4.1-Flash
- 15Claude Haiku 5.5 vs. GLM-5.3
- 16Claude Haiku 5.5 vs. Gemini 3.5 Flash-Lite
- 17Claude Haiku 5.5 vs. Gemini 3.8 Flash
- 18Claude Opus 5 vs. DeepSeek-V4.1-Flash
- 19GPT-5.6 Terra vs. DeepSeek-V4.1-Flash
- 20Claude Haiku 5.5 vs. Claude Sonnet 4.5
- 21DeepSeek-V4.1-Flash vs. GLM-5.3-Flash
- 22Claude Opus 4.6 vs. DeepSeek-V4.1-Flash
- 23Claude Haiku 5.5 vs. Claude Sonnet 5
- 24Claude Sonnet 4.6 vs. DeepSeek-V4.1-Flash
- 25DeepSeek-V4.1-Flash vs. Qwen 3.8 Max 0902
- 26GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
- 27DeepSeek-V4-Pro vs. DeepSeek-V4.1-Flash
- 28DeepSeek-V4.1-Flash vs. Mistral Large 4
- 29Claude Haiku 5.5 vs. Claude Opus 5
- 30Claude Haiku 5.5 vs. GPT-6 Astra
- 31Claude Haiku 5.5 vs. Gemini 3.5 Flash
- 32Claude Haiku 5.5 vs. Claude Opus 4.8
- 33Claude Haiku 5.5 vs. Gemini 4 Argon
- 34Claude Haiku 5.5 vs. Grok 4.7
- 35DeepSeek-V4.1-Flash vs. MiMo-V2.5-Pro
- 36Gemini 3.5 Flash-Lite vs. DeepSeek-V4.1-Flash
- 37Claude Haiku 4.5 vs. DeepSeek-V4.1-Flash
- 38Claude Haiku 5.5 vs. GPT-5.6 Luna
- 39Claude Haiku 5.5 vs. Qwen 3.8 Max 0902
- 40Gemini 3.1 Pro Preview vs. DeepSeek-V4.1-Flash
- 41Claude Haiku 5.5 vs. Muse Spark 1.3
- 42Claude Haiku 5.5 vs. Claude Sonnet 4.6
- 43Claude Haiku 5.5 vs. Gemini 3.7 Flash
- 44Claude Haiku 5.5 vs. Mistral Large 4
- 45DeepSeek-V4.1-Flash vs. GLM-5.2
- 46Gemini 3.6 Flash vs. DeepSeek-V4.1-Flash
- 47Claude Haiku 5.5 vs. GPT-6.1 Sol
- 48DeepSeek-V4.1-Flash vs. GLM-5.3
- 49GPT-5.6 Sol vs. DeepSeek-V4.1-Flash
- 50Claude Haiku 5.5 vs. Gemini 3.1 Pro Preview
- 51Claude Haiku 5.5 vs. GLM-5.3-Flash
- 52Claude Opus 4.8 vs. DeepSeek-V4.1-Flash
- 53Claude Haiku 5.5 vs. DeepSeek-V4-Pro
- 54Claude Haiku 5.5 vs. GPT-5.6 Sol
- 55Claude Haiku 5.5 vs. Gemini 3.6 Flash
- 56DeepSeek-V4.1-Flash vs. Kimi K3
- 57Claude Haiku 5.5 vs. Claude Opus 4.6
- 58Claude Haiku 5.5 vs. Kimi K2.6
- 59Grok 4.6 vs. DeepSeek-V4.1-Flash
- 60Claude Fable 5 vs. DeepSeek-V4.1-Flash
- 61GPT-5.6 Luna vs. DeepSeek-V4.1-Flash
- 62Claude Haiku 5.5 vs. Claude Opus 4.7
- 63Claude Haiku 5.5 vs. Mistral Large 3
- 64Claude Haiku 5.5 vs. GPT-5.5
- 65Claude Opus 4.7 vs. DeepSeek-V4.1-Flash
- 66Claude Sonnet 4.5 vs. DeepSeek-V4.1-Flash
- 67Claude Opus 4.5 vs. DeepSeek-V4.1-Flash
- 68Claude Fable 5.1 vs. DeepSeek-V4.1-Flash
- 69DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
- 70DeepSeek-V4.1-Flash vs. MiMo-V2.5
- 71DeepSeek-V4.1-Flash vs. GLM-5.1
- 72DeepSeek-V4.1-Flash vs. Mistral Large 3
- 73GPT-5.5 vs. DeepSeek-V4.1-Flash
- 74Claude Haiku 5.5 vs. GPT-6.1 Terra
- 75Muse Wonder Full vs. DeepSeek-V4.1-Flash