- Score
- 9.4 (+0.63 points)
- Total Cost (Current Price)
- $0.183 · 94.9% cheaper
- Response Time (avg)
- 6.24s · 95.9% faster
Moonshot AI
Release: 2026-10-24
Tested on: 2026-10-24 20:12
moonshotai/kimi-k3.1-pro::max
~2.8T total (~104B active)MoEClosedEstimated
Summary
Kimi K3.1 Pro scores 8.7 on AI BENCHY and ranks #66. It has 7.1 reliability, a 84.1% pass rate, $3.578 total cost, and 152.72s average response time.
What makes Kimi K3.1 Pro unique: It stands out most in Domain specific, where it ranks #1, while Combined is its weakest area at #17.
Recommended alternatives
We recommend choosing one of these models instead:
- Score
- 8.6 (-0.16 points)
- Total Cost (Current Price)
- $0.061 · 98.3% cheaper
- Response Time (avg)
- 7.51s · 95.1% faster
- Score
- 9.6 (+0.82 points)
- Total Cost (Current Price)
- $0.460 · 87.2% cheaper
- Response Time (avg)
- 7.15s · 95.3% faster
Model facts
Researched on 2026-10-24
- Parameters
- ~2.8T total (~104B active)
- Architecture
- MoE
- Availability
- Closed
- License
- -
Best estimate from public evidence; the vendor did not disclose every value. API-only exact checkpoint on the research date. Moonshot says the full weights will be released by November 4; do not classify promised weights as available. Total and active parameter values are estimates inherited from the Kimi K3 backbone because the official Pro blog describes a post-trained K3 without restating exact counts. Native K3.1 Pro documentation requires thinking with low/high/max, which are the benchmarked modes. On the research date, the standard endpoint is $2/$10 per million; the same model has a faster $4/$20 endpoint. These benchmarks use standard speed.
8.7
Consistency
8.6
7.1
$3.578
Total Output Tokens
300,622
Total Input Tokens
285,488
Input Price
$2.000 / 1M
Output Price
$10.000 / 1M
Cache Read Price
$0.200 / 1M
Cache Write Price
N/A
Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.
Flaky tests
4
Flaky tests had mixed outcomes across runs (at least one pass and one fail).
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#66 MoonshotAI: Kimi K3.1 Pro
max- Cost
- $0.193
- Time
- 387.5s
- Tokens
- 19,362 tok
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-10-24 20:12 Re-test | 8.7 | 7.1 | $3.578 | Current run | |
| 2026-10-24 15:44 Initial run | 5.2 | 7.0 | $1.395 | Compare |
Run comparison
| Run | Benchmark coverage | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-24 20:12 · Current run | 69/69 attempts | 8.7 | 8.6 | 7.1 | 17/23 | 4 | 300,622 | 285,488 | $3.578 | 152.72s |
| 2026-10-24 15:44 · Initial run | 69/69 attempts | 5.2 | 6.4 | 7.0 | 6/23 | 10 | 108,604 | 154,117 | $1.395 | 80.63s |
| Difference | — | +3.6 | +2.2 | +0.1 | +11 | -6 | +192018 | +131371 | +$2.183 | +72087ms |
Charts
Choose the first model, then click a second model to open a side-by-side page.
Top Models by Score
Score vs Total Cost
Response Time (avg)
Score vs Response Time (avg)
Total Output Tokens
Score vs Total Output Tokens
Quick Compare
Kimi K3.1 PromaxvsDeepSeek V4.1 FlashmediumKimi K3.1 PromaxvsMuse Spark 1.2lowKimi K3.1 PromaxvsDeepSeek V4.1 FlashhighKimi K3.1 PromaxvsGPT-5.2mediumKimi K3.1 PromaxvsMuse Spark OpenmediumKimi K3.1 PromaxvsQwen3.8 27BhighFree AvailableKimi K3.1 PromaxvsGPT-5.4mediumKimi K3.1 PromaxvsMiMo-V2.6-PromediumKimi K3.1 PromaxvsQwen3.8 MAXlowKimi K3.1 PromaxvsSeed 2.1 Turbomedium
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Agentic | 10.0 | 10.0 | |
| Anti-AI Tricks | 10.0 | 10.0 | |
| Coding | 10.0 | 10.0 | |
| Combined | 5.1 | 2.7 | |
| Data parsing and extraction | 10.0 | 10.0 | |
| Domain specific | 5.9 | 7.2 | |
| General Intelligence | 10.0 | 10.0 | |
| Instructions following | 10.0 | 10.0 | |
| Puzzle Solving | 8.2 | 7.2 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |