Which is better: Gemini 4 Argon or Kimi K2.7?

Verdict: Gemini 4 Argon ranks higher (#6 vs #45) and wins 4 of 4 shared benchmarks; Kimi K2.7 costs less ($0.95/$4.00 vs $2.00/$10.0 per 1M tokens). AskClash compares Gemini 4 Argon and Kimi K2.7 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do Gemini 4 Argon and Kimi K2.7 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Gemini 4 Argon and Kimi K2.7 when publicly disclosed.

LLM Comparison

Gemini 4 Argon vs Kimi K2.7: benchmark scores, pricing & comparison.

Side-by-side Gemini 4 Argon vs Kimi K2.7 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: Gemini 4 Argon ranks higher (#6 vs #45) and wins 4 of 4 shared benchmarks; Kimi K2.7 costs less ($0.95/$4.00 vs $2.00/$10.0 per 1M tokens).

Open live leaderboard Gemini 4 Argon model page Kimi K2.7 model page

Rank #6 vs #45AskClash overall scores 72.2 vs 41.7.

Pricing $2.00/$10.0 vs $0.95/$4.00Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightGoogle vs Moonshot AI.

Gemini 4 Argon vs Kimi K2.7 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

Metric	Gemini 4 Argon	Kimi K2.7
Overall Score	72.2	41.7
Leaderboard Rank	#6	#45
ACB	74.8	43.0
RWT	—	7.5
HLE	57.1	35.0
GPQA	—	89.6
IFEval	—	63.1
Terminal-Bench	57.1	—
DeepSWE	77.9	30.5
GDPval-AA	1624.0	1037.5
MCP Atlas	—	76.0
Finance Agent	65.4	—
Tau2	—	90.1
Input Price (per 1M tokens)	$2.00	$0.95
Output Price (per 1M tokens)	$10.0	$4.00
Context Window	1M	256K
Benchmarks Published	9	9

Gemini 4 Argon vs Kimi K2.7 head-to-head charts

Gemini 4 Argon leads 5 and Kimi K2.7 leads 0 of 5 shared benchmarks. Kimi K2.7 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 4 ArgonKimi K2.7

Overall

72.2Gemini 4 Argon

41.7Kimi K2.7

ACB

74.8Gemini 4 Argon

43.0Kimi K2.7

HLE

57.1Gemini 4 Argon

35.0Kimi K2.7

DeepSWE

77.9Gemini 4 Argon

30.5Kimi K2.7

GDPval-AA

1624.0Gemini 4 Argon

1037.5Kimi K2.7

Gemini 4 Argon

Input$2.00

Output$10.0

Workload$4.00

Context1M

Kimi K2.7

Input$0.95

Output$4.00

Workload$1.75

Context256K

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Gemini 4 Argon and Kimi K2.7 comparisons

Explore how Gemini 4 Argon and Kimi K2.7 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs Gemini 4 Argon Claude Opus 5.5 vs Kimi K2.7 Claude Fable 5.1 vs Gemini 4 Argon Claude Fable 5.1 vs Kimi K2.7 Claude Sonnet 5.5 vs Gemini 4 Argon Claude Sonnet 5.5 vs Kimi K2.7 Claude Opus 5 vs Gemini 4 Argon Claude Opus 5 vs Kimi K2.7 Claude Fable 5 vs Gemini 4 Argon Claude Fable 5 vs Kimi K2.7

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.