Model specifications
- Context
- 1,048,576 tokens
- Maximum output
- 943,718 tokens
- Architecture
- text+image+video->text
- Tokenizer
- Other
- Knowledge cutoff
- Not provided
- Moderated
- No
Complete pricing
Synchronized OpenRouter rates. Token prices are shown per one million tokens.
- Input
- $0.191 per 1M tokens
- Output
- $20 per 1M tokens
- Cache read
- $0.181 per 1M tokens
Model configuration
Default parameters
top_p- 0.95
Reasoning
- Reasoning required
- No
- Default parameters
- max
- Capabilities
- max, high, low, none
Quick start
Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.
curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"moonshotai/kimi-k3","messages":[{"role":"user","content":"Hello!"}]}'Input → Output
Yes · max · high · low · none
Supported API parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_completion_tokensmax_tokensmin_pparallel_tool_callspresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p29 providers
Checked: October 26, 2026
Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.
Relace
fp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $0.1814
- Output
- $8.5226
- Cache read
- $0.18
- Cache write
- Not provided
Wafer
mxfp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $0.191
- Output
- $16
- Cache read
- $0.181
- Cache write
- Not provided
InferenceNet
fp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $0.239
- Output
- $10.8
- Cache read
- $0.21
- Cache write
- Not provided
InferenceNet
fp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $0.239
- Output
- $11.936
- Cache read
- $0.21
- Cache write
- Not provided
Wafer
mxfp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $0.36
- Output
- $11.9
- Cache read
- $0.359
- Cache write
- Not provided
InferenceNet
fp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $0.5
- Output
- $11.88
- Cache read
- $0.35
- Cache write
- Not provided
Makora
fp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $0.65
- Output
- $15
- Cache read
- $0.23
- Cache write
- Not provided
Morph
fp8- Context
- 1.0M
- Maximum output
- 944K
- Input
- $1.15
- Output
- $16.092
- Cache read
- $0.409
- Cache write
- Not provided
Sail Research
fp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $1.2
- Output
- $5.5
- Cache read
- $0.2
- Cache write
- Not provided
Sail Research
fp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $1.2
- Output
- $5.5
- Cache read
- $0.2
- Cache write
- Not provided
AkashML
fp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $1.2
- Output
- $14
- Cache read
- $1.2
- Cache write
- Not provided
Decart
mxfp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $1.65
- Output
- $8.25
- Cache read
- $0.165
- Cache write
- Not provided
Chutes
mxfp4- Context
- 1.0M
- Maximum output
- 66K
- Input
- $1.85
- Output
- $9.5
- Cache read
- $0.185
- Cache write
- Not provided
Fireworks
Not provided- Context
- 1.0M
- Maximum output
- 944K
- Input
- $2.1
- Output
- $10.5
- Cache read
- $0.21
- Cache write
- Not provided
InferenceNet
fp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $2.24
- Output
- $14.519
- Cache read
- $0.35
- Cache write
- Not provided
Phala
Not provided- Context
- 1.0M
- Maximum output
- 944K
- Input
- $2.55
- Output
- $12.75
- Cache read
- $0.255
- Cache write
- Not provided
DigitalOcean
Not provided- Context
- 1.0M
- Maximum output
- 944K
- Input
- $2.55
- Output
- $12.95
- Cache read
- $0.255
- Cache write
- Not provided
DeepInfra
mxfp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $2.85
- Output
- $14.25
- Cache read
- $0.285
- Cache write
- Not provided
ParetoAlpha
Not provided- Context
- 1.0M
- Maximum output
- 944K
- Input
- $3
- Output
- $15
- Cache read
- $0.3
- Cache write
- Not provided
Amazon Bedrock
Not provided- Context
- 1.0M
- Maximum output
- 128K
- Input
- $3
- Output
- $15
- Cache read
- $0.3
- Cache write
- $3.75
Parasail
fp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $3
- Output
- $15
- Cache read
- $0.3
- Cache write
- Not provided
Modal
mxfp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $3
- Output
- $15
- Cache read
- $0.3
- Cache write
- Not provided
Together
Not provided- Context
- 1.0M
- Maximum output
- 944K
- Input
- $3
- Output
- $15
- Cache read
- $0.3
- Cache write
- Not provided
Fireworks
Not provided- Context
- 1.0M
- Maximum output
- 944K
- Input
- $3
- Output
- $15
- Cache read
- $0.3
- Cache write
- Not provided
BaseTen
fp8- Context
- 1.0M
- Maximum output
- 262K
- Input
- $3
- Output
- $15
- Cache read
- $0.3
- Cache write
- Not provided
Moonshot AI
mxfp4- Context
- 1.0M
- Maximum output
- 944K
- Input
- $3
- Output
- $15
- Cache read
- $0.3
- Cache write
- Not provided
Alibaba
Not provided- Context
- 1.0M
- Maximum output
- 131K
- Input
- $3.45
- Output
- $17.25
- Cache read
- $0.345
- Cache write
- Not provided
Fireworks
Not provided- Context
- 1.0M
- Maximum output
- 944K
- Input
- $4.5
- Output
- $22.5
- Cache read
- $0.45
- Cache write
- Not provided
Fireworks
Not provided- Context
- 1.0M
- Maximum output
- 944K
- Input
- $4.5
- Output
- $22.5
- Cache read
- $0.45
- Cache write
- Not provided