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- Claude Haiku 5.5 vs. Kimi K3
AnthropicMoonshot AILLM matchup
Claude Haiku 5.5vs.Kimi K3
Which one is better?
Claude Haiku 5.5 and Kimi K3 perform about equally well, but Kimi K3 costs 30 times as much.
Claude Haiku 5.5
Rank 20
Kimi K3
Rank 23
Claude Haiku 5.5
Kimi K3
Claude Haiku 5.5
Kimi K3
Claude Haiku 5.5
Rank 3 of 875
Kimi K3
Rank 19 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 Kimi K3 for
On this page
Where is the difference?
Strengths at a glance
Haiku 5.5Kimi K3
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, Kimi K3 90.7 to 103.9.
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 4 of 10 areas, Kimi K3 in none.
Haiku 5.5 ahead: 4Haiku 5.5 slightly ahead: 1level: 2too little data: 1Kimi K3 slightly ahead: 2
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. Kimi K3 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 | Kimi K3 | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| low | 80.8 | 86.9 | 1.1 | tied | 11 |
| max | 103.4 | 101.2 | 6.4 | Haiku 5.5 slightly ahead | 3 |
| Overall index (max vs. max) | 103.4 | 101.2 | 2.1 | level |
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
Kimi K3

Oct 14, 2026 · $0.0049
Test details
- Test run
- Oct 14, 2026
- Provider
- chutes/mxfp4
- API model
- moonshotai/kimi-k3
- Output
- 495 tokens
- Reasoning
- API reports 0 reasoning tokens
- Cost of the attempt
- $0.0049
- Test round
- 43b8c5c46830
Earlier tests
Claude Haiku 5.5
Not tested yet
Kimi K3

Oct 1, 2026 · 173 s · $0.08
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- moonshotai/kimi-k3
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 5,145 tokens
- Cost of the attempt
- $0.0775
- Response time
- 173.4 s
- API model reported in response
- moonshotai/kimi-k3
- Pinned endpoint
- Moonshot AI | moonshotai/kimi-k3-20260715
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (1)
- Sep 7, 2026API request failedReasoning setting: high
Claude Haiku 5.5 and Kimi K3 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 Kimi K3: 77 to 68 out of 100.
Over time
Weekly values from October 18, 2026 to November 5, 2026
Claude Haiku 5.5Kimi K3
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 | Kimi K3 |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 103.4 | 101.2 |
| Rank | Rank 20 of 91 | Rank 23 of 91 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.10above 100,000 tokens: $0.50 | $3 |
| Outputwhat the model writes | $0.50above 100,000 tokens: $2.50 | $15 |
| Speed | ||
| Tokens per second | 236 | 39 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 77Rank 3 of 875 | 68Rank 19 of 875 |
| Technical | ||
| Context windowhow much text the model reads at once | 1 M tokens≈ 1,500 A4 pages | 1.05 M tokens≈ 1,570 A4 pages |
| Knowledge cutoff | June 2026 | n/a |
| Released | Oct 7, 2026 | Jul 16, 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 112.9, rank 11. $2 input and $10 output per 1M tokens.
Haiku 5.5 vs. Kimi K3.1 ProOverall 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: Kimi K3
Show 54 more benchmarks
More comparisons
Compare Claude Haiku 5.5 and Kimi K3 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 Opus 5.5 vs. Kimi K3
- 6Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
- 7GPT-6 Astra vs. Kimi K3
- 8Claude Opus 5.5 vs. Claude Haiku 5.5
- 9Claude Haiku 5.5 vs. GLM-5.3
Show all 52 comparisons
- 10Claude Haiku 5.5 vs. Gemini 3.5 Flash-Lite
- 11Claude Haiku 5.5 vs. Gemini 3.8 Flash
- 12Claude Sonnet 5.5 vs. Kimi K3
- 13Claude Haiku 5.5 vs. Claude Sonnet 4.5
- 14Grok 4.7 vs. Kimi K3
- 15Gemini 3.1 Pro Preview vs. Kimi K3
- 16Claude Haiku 5.5 vs. Claude Sonnet 5
- 17Claude Haiku 5.5 vs. Claude Opus 5
- 18Claude Haiku 5.5 vs. GPT-6 Astra
- 19Claude Haiku 5.5 vs. Gemini 3.5 Flash
- 20Claude Opus 5 vs. Kimi K3
- 21Claude Haiku 5.5 vs. Claude Opus 4.8
- 22Kimi K3 vs. GLM-5.3-Flash
- 23GPT-6.1 Sol vs. Kimi K3
- 24Claude Haiku 5.5 vs. Gemini 4 Argon
- 25Claude Haiku 5.5 vs. Grok 4.7
- 26DeepSeek-V4-Pro vs. Kimi K3
- 27Claude Haiku 5.5 vs. GPT-5.6 Luna
- 28Claude Haiku 5.5 vs. Qwen 3.8 Max 0902
- 29Claude Haiku 5.5 vs. Muse Spark 1.3
- 30Claude Haiku 5.5 vs. Claude Sonnet 4.6
- 31Claude Haiku 5.5 vs. Gemini 3.7 Flash
- 32Claude Haiku 5.5 vs. Mistral Large 4
- 33Kimi K3 vs. GLM-5.3
- 34Claude Haiku 5.5 vs. GPT-6.1 Sol
- 35GPT-6 Sol vs. Kimi K3
- 36Claude Haiku 5.5 vs. Gemini 3.1 Pro Preview
- 37Claude Haiku 5.5 vs. GLM-5.3-Flash
- 38Claude Haiku 5.5 vs. DeepSeek-V4-Pro
- 39Claude Haiku 5.5 vs. GPT-5.6 Sol
- 40Claude Haiku 5.5 vs. Gemini 3.6 Flash
- 41DeepSeek-V4.1-Flash vs. Kimi K3
- 42Claude Haiku 5.5 vs. Claude Opus 4.6
- 43Claude Haiku 5.5 vs. Kimi K2.6
- 44Claude Fable 5 vs. Kimi K3
- 45Kimi K3 vs. Mistral Large 4
- 46Claude Opus 4.8 vs. Kimi K3
- 47Claude Haiku 5.5 vs. Claude Opus 4.7
- 48GPT-5.4 vs. Kimi K3
- 49Claude Haiku 5.5 vs. Mistral Large 3
- 50Claude Haiku 5.5 vs. GPT-5.5
- 51Muse Wonder Full vs. Kimi K3
- 52Claude Haiku 5.5 vs. GPT-6.1 Terra