Time to First Token · Kimi K2.6 (Non-reasoning)
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Time to First Token · o3
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Kimi K2.6 (Non-reasoning) vs o3: The Ultimate Performance & Pricing Comparison
Deep dive into reasoning, benchmarks, and latency insights.
The Final Verdict in the Kimi K2.6 (Non-reasoning) vs o3 Showdown
The current catalog does not contain complete performance evidence for both models, so this page does not declare an overall winner. Use the available fields as comparison signals and validate the models on your own workload.
Model Snapshot
Key decision metrics at a glance.
Kimi K2.6 (Non-reasoning)o3
6.0
Reasoning9.0
6.0
Coding6.0
3.0
Multimodal3.0
4.0
Long Context4.0
$1.713
Blended Price / 1M tokens$3.5
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P95 Latency—
42.312
Tokens per second128.056
Machine-readable comparison data
| Model | Metric | Value | Unit | Source / snapshot |
|---|---|---|---|---|
| Kimi K2.6 (Non-reasoning) | Reasoning | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| o3 | Reasoning | 9.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Kimi K2.6 (Non-reasoning) | Coding | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| o3 | Coding | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Kimi K2.6 (Non-reasoning) | Multimodal | 3.0 | benchmark or capability score | Artificial Analysis · current catalog |
| o3 | Multimodal | 3.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Kimi K2.6 (Non-reasoning) | Long Context | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| o3 | Long Context | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Kimi K2.6 (Non-reasoning) | Blended Price / 1M tokens | $1.713 | USD per 1M tokens | Artificial Analysis · current catalog |
| o3 | Blended Price / 1M tokens | $3.5 | USD per 1M tokens | Artificial Analysis · current catalog |
| Kimi K2.6 (Non-reasoning) | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| o3 | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| Kimi K2.6 (Non-reasoning) | Tokens per second | 42.312 | tokens per second | Artificial Analysis · current catalog |
| o3 | Tokens per second | 128.056 | tokens per second | Artificial Analysis · current catalog |
Data provided by Artificial Analysis; live values use the current catalog.
Overall Capabilities
This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Kimi K2.6 (Non-reasoning)` vs `o3`.
Kimi K2.6 (Non-reasoning)o3
Benchmark Breakdown
This grouped bar chart provides a side-by-side comparison for each benchmark metric.
34.630.4
ARTIFICIAL ANALYSIS INTELLIGENCE—88.3
ARTIFICIAL ANALYSIS MATHKimi K2.6 (Non-reasoning)o3
Speed & Latency
Lower time to first token is better; higher tokens per second is better.
Tokens per Second · Kimi K2.6 (Non-reasoning)
42.312
Tokens per Second · o3
128.056
The Economics of Kimi K2.6 (Non-reasoning) vs o3
Pricing Breakdown
Compare input and output pricing in USD per 1M tokens.
$0.95$2
Input Pricing$4$8
Output PricingKimi K2.6 (Non-reasoning)o3
Real-World Cost Scenario
Per run: 1M input tokens + 250k output tokensKimi K2.6 (Non-reasoning)$1.95
o3$4
Kimi K2.6 (Non-reasoning) costs $2.05 less per run
Your Questions about the Kimi K2.6 (Non-reasoning) vs o3 Comparison
Is `Kimi K2.6 (Non-reasoning)` a direct replacement for `o3`?
The current Kimi K2.6 (Non-reasoning) vs o3 data does not establish a universal replacement. Compare the available metrics, then validate quality, latency, reliability, and cost on your own workload.
For coding, which is better in the `Kimi K2.6 (Non-reasoning) vs o3` debate?
The current catalog does not contain comparable coding benchmark values for both models, so this page does not declare a coding winner.
How was this `Kimi K2.6 (Non-reasoning) vs o3` comparison conducted?
Our Kimi K2.6 (Non-reasoning) vs o3 comparison uses published benchmark, pricing, speed, and latency fields provided by Artificial Analysis. Missing values remain unavailable, and the result should be checked against your workload.