LLM Comparison

Claude Opus 4.7 vs DeepSeek V4 Pro: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 4.7 vs DeepSeek V4 Pro 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 leaderboardClaude Opus 4.7 model pageDeepSeek V4 Pro model page
Rank #5 vs #53AskClash overall scores 77.1 vs 20.7.
Pricing $5.00/$25.0 vs $1.74/$3.48Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAnthropic vs DeepSeek.

Claude Opus 4.7 vs DeepSeek V4 Pro benchmark comparison

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

MetricClaude Opus 4.7DeepSeek V4 Pro
Overall Score77.120.7
Leaderboard Rank#5#53
RWT8.57.0
Coding Agent Index50.3—
HLE54.77.7
GPQA94.272.9
MATH-500—64.5
SWE-bench87.673.6
SWE-Pro64.352.1
Terminal-Bench69.459.1
OSWorld78.0—
MCP Atlas77.369.4
Finance Agent64.444.1
CharXiv91.0—
MMMU-Pro75.2—
ARC-AGI 275.8—
Tau288.6—
MRCR—44.7
Input Price (per 1M tokens)$5.00$1.74
Output Price (per 1M tokens)$25.0$3.48
Context Window1M1M
Benchmarks Published148

Claude Opus 4.7 vs DeepSeek V4 Pro head-to-head charts

Claude Opus 4.7 leads 9 and DeepSeek V4 Pro leads 0 of 9 shared benchmarks. DeepSeek V4 Pro is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 4.7DeepSeek V4 Pro
Overall
77.1Claude Opus 4.7
20.7DeepSeek V4 Pro
RWT
8.5Claude Opus 4.7
7.0DeepSeek V4 Pro
HLE
54.7Claude Opus 4.7
7.7DeepSeek V4 Pro
GPQA
94.2Claude Opus 4.7
72.9DeepSeek V4 Pro
SWE-bench
87.6Claude Opus 4.7
73.6DeepSeek V4 Pro
SWE-Pro
64.3Claude Opus 4.7
52.1DeepSeek V4 Pro
Terminal-Bench
69.4Claude Opus 4.7
59.1DeepSeek V4 Pro
MCP Atlas
77.3Claude Opus 4.7
69.4DeepSeek V4 Pro
Finance Agent
64.4Claude Opus 4.7
44.1DeepSeek V4 Pro
Claude Opus 4.7
Input$5.00
Output$25.0
Workload$10
Context1M
DeepSeek V4 Pro
Input$1.74
Output$3.48
Workload$2.44
Context1M

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

More Claude Opus 4.7 and DeepSeek V4 Pro comparisons

Explore how Claude Opus 4.7 and DeepSeek V4 Pro stack up against other top-ranked LLMs.

Claude Opus 5 vs Claude Opus 4.7Claude Opus 5 vs DeepSeek V4 ProClaude Fable 5 vs Claude Opus 4.7Claude Fable 5 vs DeepSeek V4 ProGPT-5.6 Sol vs Claude Opus 4.7GPT-5.6 Sol vs DeepSeek V4 ProClaude Opus 4.8 vs Claude Opus 4.7Claude Opus 4.8 vs DeepSeek V4 ProClaude Opus 4.7 vs Kimi K3Kimi K3 vs DeepSeek V4 Pro

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.