Kimi K2.6 vs Llama 3.1 Instruct 405B
Wins 6 of 6 areas
Coding · Agents · Reasoning · Facts · Long documents · Following instructions
Wins 0 of 6 areas
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Kimi K2.6 is the stronger all-rounder.
Scores updated · 20 tests both models report · How we compare
Where each one wins
Tests won in each of the six areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
- CodingWriting and fixing software40Kimi K2.64 of 4 tests
- ReasoningHard problems that need careful thinking30Kimi K2.63 of 3 tests
- FactsGetting facts right instead of making them up20Kimi K2.62 of 2 tests
- AgentsCarrying out multi-step tasks on its own10Kimi K2.61 of 1 test
- Long documentsFinding answers in very long texts10Kimi K2.61 of 1 test
- Following instructionsDoing exactly what it is asked10Kimi K2.61 of 1 test
Agents, long documents and following instructions rest on a single test each.
What it costs
Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where Kimi K2.6 pulls ahead
- Fixes real GitHub issues in Python projectsSWE-bench Verified+55.7points ahead
- Reasons across sets of long documentsAA-LCR+55.7points ahead
- Long, multi-file coding tasks in real codebasesSWE-bench Pro+47.4points ahead
Where Llama 3.1 Instruct 405B pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 20 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingKimi K2.6
- SWE-bench VerifiedKimi K2.6 by 55.780.224.5+55.7
- SWE-bench ProKimi K2.6 by 47.458.611.2+47.4
- Terminal-Bench HardKimi K2.6 by 37.143.96.8+37.1
- SciCodeKimi K2.6 by 21.651.529.9+21.6
ReasoningKimi K2.6
- GPQA DiamondKimi K2.6 by 39.691.151.5+39.6
- Humanity's Last ExamKimi K2.6 by 33.537.54+33.5
- CritPtKimi K2.6 by 880+8
FactsKimi K2.6
- AA-Omniscience · Non-hallucinationKimi K2.6 by 11.959.547.6+11.9
- AA-Omniscience · AccuracyKimi K2.6 by 9.432.623.2+9.4
Other results8 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- τ²-Bench Telecom (AA run)Kimi K2.6 by 76.995.919+76.9
- LiveCodeBenchKimi K2.6 by 61.989.627.7+61.9
- Artificial Analysis Coding IndexKimi K2.6 by 47.361.814.5+47.3
- Chinese SimpleQA (C-SimpleQA)Kimi K2.6 by 25.575.950.4+25.5
- AA-OmniscienceKimi K2.6 by 22.45.3-17.1+22.4
- AA IntelligenceKimi K2.6 by 19.7277.3+19.7
- AA Agentic IndexKimi K2.6 by 15.822.16.3+15.8
- MMLU-ProKimi K2.6 by 13.887.173.3+13.8
Questions people ask
Which is better, Kimi K2.6 or Llama 3.1 Instruct 405B?
Kimi K2.6 wins all six areas where both have results: coding, agents, reasoning, facts, long documents and following instructions. Llama 3.1 Instruct 405B wins none.
Which is better for coding?
Kimi K2.6. It wins 4 of the 4 coding tests both models report; Llama 3.1 Instruct 405B wins none.
How do you compare the two?
We use the 20 benchmark tests both models have published scores on. The verdict counts the 12 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 8 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.