Model comparison

Kimi K2.7 Code vs Llama 3.2 3B

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 28.9 on the Noometry Index. Llama 3.2 3B costs 14× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

Kimi K2.7 Code Moonshot AI

43.3

Rank #94 Confirmed

Llama 3.2 3B

Summary

The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 29.7.
Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
Kimi K2.7 Code accepts more context: 262K tokens versus 131K.

Side by side

Kimi K2.7 Code and Llama 3.2 3B specifications
	Kimi K2.7 Code	Llama 3.2 3B
Provider	Moonshot AI	Meta
Noometry Index	43.3	28.9
Released	2026-06-12	2024-09-24
Weights	Open	Open
Context window	262K	131K
Max output	262K	118K
Input $ / M tokens	$0.95	$0.05
Output $ / M tokens	$4	$0.33
Results tracked	19	18

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Category by category

Coding Kimi K2.7 Code leads

Kimi K2.7 Code: 42.9 (#95), Llama 3.2 3B: 27.6 (#319)

Coding benchmarks
Benchmark	Kimi K2.7 Code	Llama 3.2 3B
DeepSWE	30.5%	—
FrontierCode	30.1%	—
LMArena WebDev	1473	—
SciCode	47.5%	—
WeirdML	54.1%	—
BigCodeBench Instruct	—	23.4%
LMArena Coding	—	1098
BigCodeBench Complete	—	28.3%
ALE-Bench	886.23	—

Agentic & Tool Use Kimi K2.7 Code leads

Kimi K2.7 Code: 24.0 (#122), Llama 3.2 3B: 20.1 (#143)

Agentic & Tool Use benchmarks
Benchmark	Kimi K2.7 Code	Llama 3.2 3B
APEX-Agents	37.6%	—
Berkeley Function Calling Leaderboard	—	21.9%
BALROG	—	10.1%
GBAEval	0.9%	—
Vending-Bench 2	5,083	—

Reasoning Kimi K2.7 Code leads

Kimi K2.7 Code: 39.0 (#61), Llama 3.2 3B: 21.0 (#228)

Reasoning benchmarks
Benchmark	Kimi K2.7 Code	Llama 3.2 3B
SimpleBench	57.9%	—
CritPt	10%	—
Chess Puzzles	21%	—
LMArena Hard Prompts	—	1095
Surface Evolver Bench	48.8%	—
Epoch Capabilities Index	149.97	—

Math Kimi K2.7 Code leads

Kimi K2.7 Code: 52.9 (#48), Llama 3.2 3B: 32.4 (#214)

Math benchmarks
Benchmark	Kimi K2.7 Code	Llama 3.2 3B
FrontierMath (Tiers 1-3)	54%	—
FrontierMath Tier 4	12.2%	—
OTIS Mock AIME 2024-2025	95.6%	—
LMArena Math	—	1126

Knowledge Kimi K2.7 Code leads

Kimi K2.7 Code: 53.5 (#57), Llama 3.2 3B: 29.7 (#235)

Knowledge benchmarks
Benchmark	Kimi K2.7 Code	Llama 3.2 3B
GPQA Diamond	87.9%	—
SimpleQA Verified	36.5%	—
LMArena Expert	—	1090

Multilingual Not comparable

Kimi K2.7 Code: —, Llama 3.2 3B: 26.2 (#281)

Multilingual benchmarks
Benchmark	Kimi K2.7 Code	Llama 3.2 3B
LMArena Non-English	—	1019
LMArena Chinese	—	1017
LMArena German	—	1056
LMArena Russian	—	949

Instruction Following Not comparable

Kimi K2.7 Code: —, Llama 3.2 3B: 56.0 (#275)

Instruction Following benchmarks
Benchmark	Kimi K2.7 Code	Llama 3.2 3B
LMArena Instruction Following	—	1089

Long Context Not comparable

Kimi K2.7 Code: —, Llama 3.2 3B: 33.4 (#261)

Long Context benchmarks
Benchmark	Kimi K2.7 Code	Llama 3.2 3B
LMArena Longer Query	—	1100

Writing & Preference Not comparable

Kimi K2.7 Code: —, Llama 3.2 3B: 24.7 (#307)

Writing & Preference benchmarks
Benchmark	Kimi K2.7 Code	Llama 3.2 3B
LMArena Text	—	1110
LMArena Creative Writing	—	1094
EQ-Bench Creative Writing	—	595
LMArena Multi-Turn	—	1105

Frequently asked questions

Is Kimi K2.7 Code better than Llama 3.2 3B?

Which is cheaper, Kimi K2.7 Code or Llama 3.2 3B?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

Is Kimi K2.7 Code or Llama 3.2 3B better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 27.6 in the Noometry coding category.

Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 131K.

How many benchmarks do Kimi K2.7 Code and Llama 3.2 3B share?

0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Llama 3.2 3B has 18.