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- GPT-6 Luna vs. Kimi K3
OpenAIMoonshot AILLM matchup
GPT-6 Lunavs.Kimi K3
Which one is better?
Kimi K3 performs better than GPT-6 Luna, but costs 30 times as much.
GPT-6 Luna
Rank 35
Kimi K3
Rank 23
GPT-6 Luna
Kimi K3
GPT-6 Luna
Kimi K3
GPT-6 Luna
Rank 30 of 785
Kimi K3
Rank 12 of 785
Above 272,000 tokens of context, GPT-6 Luna costs more: $0.20 input and $0.75 output per 1M tokens.
Choose GPT-6 Luna for
Choose Kimi K3 for
On this page
Where is the difference?
Strengths at a glance
GPT-6 LunaKimi K3Median of all ranked models
95 % range: GPT-6 Luna 94.5 to 100.5, Kimi K3 90.7 to 103.9.
The same values and verdicts as the bars below. In the close-up the net starts at 80 points, just below the weaker model's lowest value; the reference group average is 100.
Kimi K3 is ahead in 5 of 10 areas, GPT-6 Luna in none.
GPT-6 Luna slightly ahead: 1level: 3Kimi K3 slightly ahead: 1Kimi K3 ahead: 5
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 4 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.
GPT-6 Luna 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 | GPT-6 Luna | Kimi K3 | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| low | 65.2 | 87.0 | 17.0 | Kimi K3 ahead | 12 |
| max | 96.3 | 101.2 | 1.0 | tied | 4 |
| Overall index (max vs. max) | 96.3 | 101.2 | 5.0 | Kimi K3 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
The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.
GPT-6 Luna

Oct 1, 2026 · 47 s · $0.0022
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- openai/gpt-6-luna
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 4,493 tokens
- Cost of the attempt
- $0.0022
- Response time
- 46.7 s
- API model reported in response
- openai/gpt-6-luna
- Pinned endpoint
- OpenAI | openai/gpt-6-luna-20260922
- 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.
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
SVG short test
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.
GPT-6 Luna
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
GPT-6 Luna 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 92 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.
Kimi K3 is more popular than GPT-6 Luna: 67 to 60 out of 100.
Over time
Weekly values from October 18, 2026 to November 7, 2026
GPT-6 LunaKimi K3
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | GPT-6 Luna | Kimi K3 |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 96.3 | 101.2 |
| Rank | Rank 35 of 92 | Rank 23 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.10above 272,000 tokens: $0.20 | $3 |
| Outputwhat the model writes | $0.50above 272,000 tokens: $0.75 | $15 |
| Cost per task (own tests)average of 3 original-protocol tasks both models passed (SVG short test not included) | $0.003 | $0.055 |
| Speed | ||
| Tokens per second | 101 | 39 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 60Rank 30 of 785 | 67Rank 12 of 785 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,580 A4 pages | 1.05 M tokens≈ 1,570 A4 pages |
| Knowledge cutoff | May 18, 2026 | n/a |
| Released | Sep 22, 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
GPT-6 Luna vs. Kimi K3.1 ProOverall index 103.4, rank 20$0.10 input and $0.50 output per 1M tokens
Kimi K3 vs. Claude Haiku 5.5Overall index 126.1, rank 1$4 input and $20 output per 1M tokens
Kimi K3 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: GPT-6 LunaB: Kimi K3
Show 54 more benchmarks
More comparisons
Compare GPT-6 Luna and Kimi K3 with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1GPT-6 Luna vs. GPT-5.6 Terra
- 2Claude Haiku 5.5 vs. GPT-6 Luna
- 3GPT-6 Luna vs. Gemini 3.8 Flash
- 4GPT-6 Luna vs. DeepSeek-V4.1-Flash
- 5GPT-6 Luna vs. GPT-5.4 mini
- 6Claude Opus 5.5 vs. Kimi K3
- 7GPT-6 Astra vs. GPT-6 Luna
- 8GPT-6 Luna vs. GLM-5.3-Flash
- 9GPT-6 Astra vs. Kimi K3
Show all 67 comparisons
- 10GPT-6.1 Sol vs. GPT-6 Luna
- 11GPT-6 Luna vs. DeepSeek-V4-Pro
- 12Claude Sonnet 5 vs. GPT-6 Luna
- 13GPT-6 Luna vs. Gemini 3.5 Flash-Lite
- 14Claude Haiku 4.5 vs. GPT-6 Luna
- 15Claude Sonnet 5.5 vs. Kimi K3
- 16Claude Sonnet 4.6 vs. GPT-6 Luna
- 17GPT-6 Luna vs. GPT-5.4
- 18GPT-6 Luna vs. Gemini 3.1 Pro Preview
- 19Grok 4.7 vs. Kimi K3
- 20Claude Sonnet 5.5 vs. GPT-6 Luna
- 21GPT-6 Luna vs. DeepSeek V4.1 Flash 1017
- 22GPT-6.1 Sol vs. Kimi K3
- 23Gemini 3.1 Pro Preview vs. Kimi K3
- 24Claude Opus 4.8 vs. GPT-6 Luna
- 25GPT-6 Luna vs. GPT-5.6 Sol
- 26Claude Opus 5 vs. Kimi K3
- 27GPT-6 Luna vs. Grok 4.7
- 28GPT-6 Luna vs. Gemini 3.6 Flash
- 29GPT-6.1 Terra vs. Kimi K3
- 30GPT-6 Sol vs. GPT-6 Luna
- 31Claude Opus 4.6 vs. GPT-6 Luna
- 32Claude Sonnet 4.5 vs. GPT-6 Luna
- 33GPT-6 Luna vs. Muse Spark 1.3
- 34GPT-6 Luna vs. DeepSeek-V4-Flash
- 35DeepSeek V4.1 Flash 1017 vs. Kimi K3
- 36Claude Opus 5.5 vs. GPT-6 Luna
- 37DeepSeek-V4-Pro vs. Kimi K3
- 38Kimi K3 vs. GLM-5.3-Flash
- 39GPT-6 Luna vs. Qwen 3.8 27B
- 40DeepSeek-V4.1-Flash vs. Kimi K3
- 41GPT-6 Luna vs. Qwen 3.8 Max 0902
- 42GPT-6 Luna vs. GLM-5.2
- 43GPT-6 Sol vs. Kimi K3
- 44GPT-6 Luna vs. GPT-5.5
- 45GPT-6 Luna vs. Gemini 3.7 Flash
- 46DeepSeek-V4-Flash vs. Kimi K3
- 47Muse Spark 1.3 vs. Kimi K3
- 48Claude Fable 5.1 vs. GPT-6 Luna
- 49GPT-6 Luna vs. GLM-5.3
- 50GPT-6 Luna vs. Grok 4.6
- 51Claude Opus 4.5 vs. GPT-6 Luna
- 52Kimi K3 vs. Mistral Large 4
- 53Claude Fable 5 vs. Kimi K3
- 54Kimi K3 vs. GLM-5.3
- 55GPT-6 Luna vs. MiMo-V2.5
- 56Claude Opus 4.8 vs. Kimi K3
- 57Claude Fable 5 vs. GPT-6 Luna
- 58GPT-6 Luna vs. Mistral Large 4
- 59GPT-6 Luna vs. Gemini 3.5 Flash
- 60GPT-6.1 Terra vs. GPT-6 Luna
- 61GPT-5.4 vs. Kimi K3
- 62GPT-6 Luna vs. Mistral Medium 3.5
- 63GPT-6 Luna vs. Grok 4.5
- 64Claude Opus 4.7 vs. GPT-6 Luna
- 65GPT-6 Luna vs. Gemini 4 Argon
- 66Gemini 4 Argon vs. Kimi K3
- 67Muse Wonder Full vs. Kimi K3