Kimi vs MiniMax: benchmarks and API costs

Kimi K3.1 Pro leads the current AA Intelligence Index, 46 to 29. MiniMax-M3.1-Flash has the lower illustrated request cost, $0.0021 versus $0.03; output speed is 35.7 versus 118.9 tokens/s.

Updated · 4 sources · Methodology

DimensionWinnerMarginEvidence
SciCode (%)Kimi K3.1 Pro7.40 ppKimi K3.1 Pro 60.76% / MiniMax-M3.1-Flash 53.36%12
Intelligence IndexKimi K3.1 Pro17 pointsKimi K3.1 Pro 46 / MiniMax-M3.1-Flash 29
Output speed (tokens/s)MiniMax-M3.1-Flash83.2 tokens/sKimi K3.1 Pro 35.7 / MiniMax-M3.1-Flash 118.9 tokens/s
Illustrated request costMiniMax-M3.1-Flash$0.02790Kimi K3.1 Pro $0.03 / MiniMax-M3.1-Flash $0.0021

AA coding quality benchmarks

MetricKimi K3.1 ProMiniMax-M3.1-Flash
SciCode (%)60.76153.362
AA v5 Intelligence Index461292

Performance

MetricKimi K3.1 ProMiniMax-M3.1-Flash
Output speed (tokens/s)35.7118.9
AA time to first answer token (s)58.9018.18

Prices and request cost

MetricKimi K3.1 Pro · Novita AIMiniMax-M3.1-Flash · Novita AI
Input / 1M tokens$23$0.154
Output / 1M tokens$103$0.64
Context window (tokens)1,048,57631,000,0004
Max output (tokens)1,048,5763524,2884
API documentationNovita AI · Chat API
Cost example: 10,000 input + 1,000 billed output tokens

Coding, reasoning, context and cost

Coding benchmark

  • AA SciCode: Kimi K3.1 Pro 60.76% / MiniMax-M3.1-Flash 53.36%.12

Reasoning benchmark

Context window (tokens)

  • Kimi’s 1,048,576-token limit is slightly larger than MiniMax’s 1,000,000, a modest capacity distinction.12

Estimated request cost

  • MiniMax keeps this token scenario at $0.0021; selecting Kimi raises it to $0.03.

Methodology and sources

SciCode is AA’s scientific-coding evaluation, reported as a percentage; higher is better. It is separate from the 10,000-input-token performance test and is not an in-editor Cline evaluation. Quality and performance use the configurations shown beside the model names. A current AA v5 Intelligence Index is displayed only where both models have a published value. AA performance uses the 10,000-input-token benchmark at each model’s displayed configuration; reasoning settings vary by model. Output speed is the median output rate. Answer latency measures the first answer token after reasoning, not the initial streamed reasoning chunk. For non-streamed reasoning and non-reasoning models, AA reports the same first-chunk and first-answer event. AA estimates answer latency from initial response and reasoning duration; it is not a separately sampled median. These are reference deployments, not Novita endpoint guarantees. The uncached cost example bills 10,000 input and 1,000 output tokens at each named seller’s tariff; it is not the cost of the AA benchmark. Prices, context and output limits use the cited seller sources.

  1. Artificial Analysis · Kimi K3.1 Pro · quality and performance
  2. Artificial Analysis · MiniMax-M3.1-Flash · quality and performance
  3. Novita AI · Kimi K3.1 Pro · endpoint pricing and limits
  4. Novita AI · MiniMax-M3.1-Flash · endpoint pricing and limits

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