Is Kimi K2.6 a good deal?
Whether anything in this catalogue beats Kimi K2.6 on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion.
12 undominated of 144 · Oct 16, 2026
As of Oct 16, 2026, Kimi K2.6 is dominated for Balanced on LMArena. DeepSeek V4.1 Flash scores 7.1 higher and costs 78% less, with a covering envelope. 12 of 144 rated, priced standard models are undominated. DeepSeek V4.1 Flash: Price under confirmation since Oct 12, 2026.
Inspect model evidence Compare differences & requirements
DeepSeek V4.1 Flash is both better and cheaper than Kimi K2.6: 7.1 points higher on LMArena and 78% less per million tokens, $0.643 cheaper at this mix.
LMArena Elo · higher is better
Scale starts at 1040 Elo
1455.4
Effective $/M · Balanced · lower is better
$0.825/M
LMArena Elo · higher is better
Scale starts at 1040 Elo
1462.5
Effective $/M · Balanced · lower is better
$0.182/M
Price under confirmation since Oct 12, 2026Kimi K2.6 takes text, image, returns up to 235,929 tokens from a 262,144-token context, and is listed by 17 sellers.
Compared against 144 rated, priced models on this lens: 1 model dominates it and gives up nothing, 3 more dominate it but give something up. Kimi K2.6 scores 1455.4 at $0.825 per million tokens for this mix.
Envelope-safe replacements
Each row scores at least as high, costs no more, and covers this model’s context, output, modalities, tools, and reasoning. A cheaper narrower model is not listed here.
| Model | LMArena | Effective $/M | You save |
|---|---|---|---|
| DeepSeek V4.1 Flash | 1462.5 +7.1 | $0.182/MPrice under confirmation since Oct 12, 2026 | 78% |
Higher score, lower price, named losses
Not a drop-in. The loss is why these are not a recommendation.
| Model | LMArena | Effective $/M | You give up |
|---|---|---|---|
| MiMo-V2.6-Pro | 1490.3 | $0.540/M | max output |
| GLM 5.3 Flash | 1471.0 | $0.238/MPrice under confirmation since Oct 12, 2026 | max output |
| MiMo-V2.5-Pro | 1465.1 | $0.544/MPrice under confirmation since Oct 16, 2026 | max output, image |
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Constraint: replacements must preserve the model’s capabilities; any losses remain named trade-offs.
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