Moonshot AI
Kimi K3.1 Pro
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window. It is built for long-horizon coding, 3D...
Cost / 1M tokens
High usage$2.00
input
$0.20
cached input
$10.00
output
Context Window
1M
Up to 944K max output
Architecture
1T+ MoE · 1M context
text + image + video → text
Quickstart & API
moonshotai/kimi-k3.1-proBest for & Strengths
Key Strengths
Recommended Workloads in ChatOSS
- Complex repository architecture
- Frontend & UI component design
- Long-horizon engineering
Verified Evaluations
Benchmarks & Frontier Comparison
How Kimi K3.1 Pro compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.
| Benchmark (Metric) | Kimi K3.1 Pro | DeepSeek V4.1 Flash | GLM 5.3 | Claude Opus 5.5 | Gemini 4 Argon |
|---|---|---|---|---|---|
| Agentic & Software Engineering | |||||
| ChatOSS Agentic Coding Index (%) | 65% | 63.2% | 58.3% | 74.1% | 73.9% |
| SWE-Bench Verified (%) | 94.8% | 91.5% | 95.4% | 97% | 94% |
| DeepSWE v1.1 (Pass@1 %) | 73.5% | 77% | 69% | 74.2% | 77.9% |
| Vibe Code Bench v1.1 (%) | 88.4% | 87.7% | 78.1% | 90.3% | 91.9% |
| Terminal-Bench 4.0 (%) | 46.2% | 42.3% | 42% | 65.2% | 57.6% |
| Code Migration (%) | 52% | 45.6% | 44.2% | 66.7% | 68.2% |
| Intelligence & Token Economics | |||||
| Artificial Analysis Intelligence Index (0–100) | 46.5 | 39.5 | 44.8 | 57.6 | 52.6 |
| Input Price (/ 1M tokens) | $2.00 | $0.15 | $1.40 | $4.00 | $4.00 |
| Output Price (/ 1M tokens) | $10.00 | $0.60 | $4.40 | $20.00 | $20.00 |
ChatOSS Agentic Coding Index
ChatOSS Benchmark Audit · 4-benchmark composite mean
SWE-Bench Verified
Vals AI · Terminus 2
DeepSWE v1.1
DeepSWE / Official Audit · Mini-SWE-Agent
Vibe Code Bench v1.1
Vals.ai · OpenHands
Terminal-Bench 4.0
Vals.ai / Artificial Analysis · Terminus 2
Terminal-Bench 2.1
Vals.ai · Terminus 2
Code Migration
Vals.ai · Vals evaluation harness
Artificial Analysis Intelligence Index
Artificial Analysis
GPQA Diamond (Pass@1)
Benchmark Audit
Design Arena: ANDROIDNATIVE
Design Arena · Rank #28 (42.6% win)
Design Arena: CODETOVIDEO
Design Arena · Rank #5 (58.8% win)
Design Arena: FULLSTACK
Design Arena · Rank #2 (61.9% win)
Design Arena: MOBILEAPPS
Design Arena · Rank #4 (59.6% win)
Active Provider Endpoints (23)
Upstream inference providers serving Kimi K3.1 Pro, with per-provider pricing, context limits, quantization, and 24-hour uptime.
| Provider | Input / 1M | Output / 1M | Cache Read / 1M | Context | Max Output | Quantization | Uptime (24h) |
|---|---|---|---|---|---|---|---|
Relacecache relace/fp4 | $0.237 | $8.41 | $0.20 | 1M | 944K | fp4 | 100.0% |
Wafercache wafer/us | $0.25 | $10.00 | $0.18 | 1M | 944K | mxfp4 | 100.0% |
Sail Researchcache sail-research/fp4/us | $1.04 | $9.35 | $0.187 | 1M | 944K | fp4 | 100.0% |
Morphcache morph/fp8 | $1.32 | $12.00 | $0.208 | 1M | 944K | fp8 | 100.0% |
Sail Researchcache sail-research/fp4 | $1.40 | $9.35 | $0.187 | 1M | 944K | fp4 | 100.0% |
AkashMLcache akashml/fp4 | $1.75 | $10.00 | $0.18 | 1M | 944K | fp4 | 99.7% |
Decartcache decart/mxfp4 | $1.76 | $8.80 | $0.176 | 410K | 369K | mxfp4 | 100.0% |
PrimaLabscache primalabs/mxfp4 | $1.80 | $9.00 | $0.18 | 1M | 944K | mxfp4 | 99.3% |
Wafercache wafer/mxfp4 | $1.80 | $9.00 | $0.18 | 1M | 944K | mxfp4 | 100.0% |
InferenceNetcache inference-net/mxfp4 | $1.80 | $9.00 | $0.18 | 1M | 944K | mxfp4 | 100.0% |
InferenceNetcache inference-net/mxfp4/us | $1.80 | $9.00 | $0.18 | 1M | 944K | mxfp4 | 100.0% |
DeepInfracache deepinfra/bf16 | $1.90 | $9.50 | $0.19 | 1M | 944K | bf16 | 100.0% |
Fireworkscache fireworks | $2.00 | $10.00 | $0.20 | 1M | 944K | — | 99.3% |
DigitalOceancache digitalocean | $2.00 | $10.00 | $0.20 | 1M | 944K | — | 99.9% |
Parasailcache parasail/fp4 | $2.00 | $10.00 | $0.20 | 1M | 944K | fp4 | 99.9% |
Modalcache modal/mxfp4 | $2.00 | $10.00 | $0.20 | 1M | 944K | mxfp4 | 100.0% |
Nebiuscache nebius/fp4 | $2.00 | $10.00 | $0.20 | 1M | 944K | fp4 | 95.6% |
Togethercache together | $2.00 | $10.00 | $0.20 | 1M | 944K | — | 100.0% |
Moonshot AIcache moonshotai/mxfp4 | $2.00 | $10.00 | $0.20 | 1M | 944K | mxfp4 | 100.0% |
Alibabacache alibaba | $2.30 | $11.50 | $0.23 | 1M | 944K | — | 97.7% |
InferenceNetcache inference-net/us/fast | $2.70 | $13.50 | $0.27 | 1M | 944K | mxfp4 | 100.0% |
InferenceNetcache inference-net/fast | $2.70 | $13.50 | $0.27 | 1M | 944K | mxfp4 | 100.0% |
Moonshot AIcache moonshotai/highspeed | $4.00 | $20.00 | $0.20 | 1M | 944K | mxfp4 | 100.0% |
Supported API Parameters
Parameters accepted by this model when called through ChatOSS or OpenRouter.
Deep-Dive Benchmarks & Teardowns
Independent benchmark analysis and real-world agent billing teardowns featuring Kimi K3.1 Pro.
2026-07-20 · 4 min read
Is Kimi K3 down?
Moonshot AI's breakout open model isn't offline — but a record-breaking launch has pushed its compute to the limit, and new subscriptions are paused. Here's what's actually happening.
2026-11-10 · 12 min read
Kimi K3.1 Pro wins the terminal, not the codebase
Moonshot's open-weight flagship tops Terminal-Bench 4.0 at 67.2% in Artificial Analysis's independent run — then scores 25.5% on FrontierCode 2.0 against Claude Opus 5.5's 46.4%. The best open model is now a specialist, and the cache math still favors Sonnet.
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