How do Gemini 3.6 Flash and DeepSeek V4 Pro (Max) 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 3.6 Flash and DeepSeek V4 Pro (Max) when publicly disclosed.

LLM Comparison

Gemini 3.6 Flash vs DeepSeek V4 Pro (Max): benchmark scores, pricing & comparison.

Q: Which is better: Gemini 3.6 Flash or DeepSeek V4 Pro (Max)?

AskClash compares Gemini 3.6 Flash and DeepSeek V4 Pro (Max) side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side Gemini 3.6 Flash vs DeepSeek V4 Pro (Max) 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.

Open live leaderboard Gemini 3.6 Flash model page DeepSeek V4 Pro (Max) model page

Rank #17 vs #30AskClash overall scores 62.9 vs 48.4.

Pricing $1.50/$7.50 vs $0.43/$0.87Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightGoogle vs DeepSeek.

Gemini 3.6 Flash vs DeepSeek V4 Pro (Max) benchmark comparison

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

Metric	Gemini 3.6 Flash	DeepSeek V4 Pro (Max)
Overall Score	62.9	48.4
Leaderboard Rank	#17	#30
RWT	—	7.0
HLE	38.0	37.7
GPQA	92.8	90.1
MATH-500	—	64.5
SWE-bench	—	80.6
SWE-Pro	58.7	55.4
Terminal-Bench	78.0	67.9
DeepSWE	49.0	—
OSWorld	83.0	—
MCP Atlas	—	73.6
CharXiv	85.2	—
MMMU-Pro	83.2	—
Tau2	—	96.2
MRCR	91.8	83.5
Input Price (per 1M tokens)	$1.50	$0.43
Output Price (per 1M tokens)	$7.50	$0.87
Context Window	1M	1M
Benchmarks Published	11	9

Gemini 3.6 Flash vs DeepSeek V4 Pro (Max) head-to-head charts

Gemini 3.6 Flash leads 6 and DeepSeek V4 Pro (Max) leads 0 of 6 shared benchmarks. DeepSeek V4 Pro (Max) is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.6 FlashDeepSeek V4 Pro (Max)

Overall

62.9Gemini 3.6 Flash

48.4DeepSeek V4 Pro (Max)

HLE

38.0Gemini 3.6 Flash

37.7DeepSeek V4 Pro (Max)

GPQA

92.8Gemini 3.6 Flash

90.1DeepSeek V4 Pro (Max)

SWE-Pro

58.7Gemini 3.6 Flash

55.4DeepSeek V4 Pro (Max)

Terminal-Bench

78.0Gemini 3.6 Flash

67.9DeepSeek V4 Pro (Max)

MRCR

91.8Gemini 3.6 Flash

83.5DeepSeek V4 Pro (Max)

Gemini 3.6 Flash

Input$1.50

Output$7.50

Workload$3.00

Context1M

DeepSeek V4 Pro (Max)

Input$0.43

Output$0.87

Workload$0.61

Context1M

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

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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.