Kimi K3 vs MiniMax M3: Specs & Benchmark Comparison
| Characteristic | Kimi K3 | MiniMax M3 |
|---|---|---|
| Company | Moonshot AI | MiniMax |
| Release Date | July 16, 2026 | June 1, 2026 |
| Parameters | 2.8T | 428B |
| Multimodal | Yes | Yes |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 1.0M | 131K |
| Input Price / 1M | $3.00 | $0.30 |
| Output Price / 1M | $15.00 | $1.20 |
| Average Score | 1.0 | 0.9 |
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: Kimi K3 — 1.0, MiniMax M3 — 0.9.
API Cost
MiniMax M3 is 12.0x cheaper: input $0.30/1M vs $3.00/1M tokens.
Context Window
Same context size: 1M tokens.
Recency
Kimi K3 is newer: released 7/16/2026 vs 6/1/2026.
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Frequently Asked Questions
Which is better for coding — Kimi K3 or MiniMax M3?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Kimi K3 or MiniMax M3?
MiniMax M3 is cheaper for input: $0.30 per 1M tokens vs $3.00.
Which has a larger context window — Kimi K3 or MiniMax M3?
Kimi K3 supports a larger context: 1,000,000 tokens vs 1,000,000.
The Kimi K3 and MiniMax M3 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Kimi K3 or MiniMax M3 page. See also the complete list of AI model comparisons.