Which is better, DeepSeek-V4-Flash or GPT-5.6 Sol?

Across 45 shared benchmarks tracked on Vector Wire, DeepSeek-V4-Flash leads on 5 and GPT-5.6 Sol leads on 40 — GPT-5.6 Sol leads on more. Strengths differ by axis; the table below shows every head-to-head number with provenance.

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DeepSeek-V4-Flash vs GPT-5.6 Sol

DeepSeekvsOpenAI45 shared benchmarks5–40 head-to-head

Benchmark	DeepSeek-V4-Flash	GPT-5.6 Sol
AA Agentic Index	61.3	57.8
AA Intelligence	51.8	61
AA-LCR	74.3	77.7
AA-Omniscience	-14.3	22
Agents' Last Exam	25.2	52.7
aime_2026	95.8	99.9
arc_agi_1	84	97.5
ARC-AGI-2	46	92.5
arena_elo	1439	1482
arena_text_factuality	1434	1474
Artificial Analysis Coding Index	69.1	78.3
browsecomp	73.2	90.4
coding_arena_elo	1431	1619
critpt	16.6	32.3
cybergym	76.7	83.6
DeepSWE	54.4	73
gdpval	52.9	61.1
GDPval-AA v2	1189	1748
Global-MMLU-Lite	88.4	91.8
GPQA Diamond	90.8	94.6
HLE	38.6	49.5
HLE (with tools)	45.1	58
IFBench	79.2	72.7
itbenchSre	31.5	56.2
livebench_agentic_coding	46.8	56.2
livebench_coding	75	83.9
livebench_data_analysis	79.3	79.8
livebench_instruction_following	65.5	71.8
livebench_language	79.2	87.7
livebench_math	86.8	96.2
livebench_reasoning	86.6	91.7
MCP Atlas	69	83.6
OmniScience Accuracy	40.4	59.4
OmniScience Non-Hallucination	15.6	10.6
scicode	49.9	56.9
simplebench	46.3	64.8
simpleqa_verified	45	71.6
strongreject	97.4	98.5
SWE-bench Pro	52.6	64.6
Tau 3 Banking	22.9	33
TauBench V3 - Banking	39.4	44.3
Terminal-Bench 2.1	82.7	89.5
Terminal-Bench Hard	38.6	65.9
toolathlon	70.3	58
τ²-Bench Telecom (AA run)	95.6	85.1

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.