Which is better, Claude Opus 4.7 or DeepSeek-V4-Pro?

Across 49 shared benchmarks tracked on Vector Wire, Claude Opus 4.7 leads on 37 and DeepSeek-V4-Pro leads on 12 — Claude Opus 4.7 leads on more. Strengths differ by axis; the table below shows every head-to-head number with provenance.

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Claude Opus 4.7 vs DeepSeek-V4-Pro

AnthropicvsDeepSeek49 shared benchmarks37–12 head-to-head

Benchmark	Claude Opus 4.7	DeepSeek-V4-Pro
AA Agentic Index	64.6	63.3
AA Intelligence	55	53
AA-LCR	75.3	70
AA-Omniscience	27.3	-10.6
aime_2026	95.8	96.7
arena_elo	1494	1457
arena_text_factuality	1474	1450
Artificial Analysis Coding Index	73.6	59.4
browsecomp	79.8	83.4
coding_arena_elo	1557	1582
critpt	12	13
cybergym	73.8	52.7
gdpval	58.6	49
GDPval-AA (Elo)	1753	1554
GPQA Diamond	94.2	90.5
HLE	54.7	48.2
HLE (with tools)	54.7	48.2
hmmt_feb_2026	93.9	95.2
IFBench	58.6	76.5
itbenchSre	46.7	38.3
livebench	76.9	73.6
livebench_agentic_coding	50.7	42.6
livebench_coding	82.1	70
livebench_data_analysis	78.3	74.5
livebench_instruction_following	66.7	62.4
livebench_language	77.9	78.1
livebench_math	92.8	90.7
livebench_reasoning	87.2	82.7
MCP Atlas	79.1	74.2
OmniScience Accuracy	48.9	43
OmniScience Non-Hallucination	57.7	12.2
scicode	54.5	50
simplebench	61.7	50.9
simpleqa_verified	50.6	57.9
SWE-bench Multilingual	80.5	76.2
SWE-bench Pro	64.3	55.4
SWE-bench Verified	87.6	80.6
TauBench V3 - Banking	34.6	30.1
Terminal-Bench 2.0	69.4	67.9
Terminal-Bench 2.1	83.1	72.1
Terminal-Bench Hard	54.5	46.2
toolathlon	59.3	51.8
usamo_2026	69.3	60.7
vectara_answer_rate	98	97.2
vectara_avg_summary_length	149.1	153.8
vectara_factual_consistency	88	91.4
vectara_hallucination_rate ↓	12	8.6
τ²-Bench Telecom (AA run)	88.6	96.2
τ³-Bench	28.9	25.8

Best tracked score per model per benchmark (default configuration; source-attributed). ↓ marks lower-is-better metrics. Open either model for its full surface, provenance and pricing.