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Model comparison

DeepSeek V4 Flash (High) vs GPT-5.1-Codex-Max

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

53.95/100
Margin
0.5pts
winning →
54.48/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V4 Flash (High) #92 (Estimated); GPT-5.1-Codex-Max #90 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Flash (High) and GPT-5.1-Codex-Max share 11 comparable benchmark results. 0 of 8 categories are comparable. 27 results are unique to DeepSeek V4 Flash (High); 2 to GPT-5.1-Codex-Max.

Updated July 23, 2026
Shared results
11
DeepSeek V4 Flash (High) only
27
GPT-5.1-Codex-Max only
2
Comparable categories
0 / 8

Benchmark data for DeepSeek V4 Flash (High) and GPT-5.1-Codex-Max is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

GPT-5.1-Codex-Max is priced at $1.25 input / $10.00 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (High). DeepSeek V4 Flash (High) has the larger context window at 1M, compared with 400K for GPT-5.1-Codex-Max.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for DeepSeek V4 Flash (High) and GPT-5.1-Codex-Max
CategoryDeepSeek V4 Flash (High)ΔGPT-5.1-Codex-Max
AgenticDeepSeek V4 Flash (High)55.3MarginNo overlapGPT-5.1-Codex-MaxNot measured
CodingDeepSeek V4 Flash (High)68.5MarginNo overlapGPT-5.1-Codex-MaxNot measured
KnowledgeDeepSeek V4 Flash (High)52.1MarginNo overlapGPT-5.1-Codex-MaxNot measured
MathDeepSeek V4 Flash (High)91.9MarginNo overlapGPT-5.1-Codex-MaxNot measured

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek V4 Flash (High)GPT-5.1-Codex-MaxComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Flash (High)$0.14 input / $0.28 outputGPT-5.1-Codex-Max$1.25 input / $10 outputDeepSeek V4 Flash (High) has the lower combined listed price.
Generation speedtokens per secondDeepSeek V4 Flash (High)Not availableGPT-5.1-Codex-MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Flash (High)Not availableGPT-5.1-Codex-MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Flash (High)1MGPT-5.1-Codex-Max400KDeepSeek V4 Flash (High) lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 Flash (High)GPT-5.1-Codex-MaxResult
Terminal-Bench 2.0Source 56.6%Not comparable
BrowseCompSource 53.5%Not comparable
HLE w/ toolsSource 40.3%Not comparable
MCP AtlasSource 67.4%Not comparable
ToolathlonSource 43.5%Not comparable
τ²-bench resultsSource 95.6%83%DeepSeek V4 Flash (High) leads
AA Agentic IndexSource 28.2%Not comparable
GDPval-AASource 32.4%Not comparable
GDPval-AASource 1147Not comparable
Coding
BenchmarkDeepSeek V4 Flash (High)GPT-5.1-Codex-MaxResult
CodeforcesSource 2816.0Not comparable
SWE-bench VerifiedSource 78.6%Not comparable
SWE-bench ProSource 52.3%Not comparable
SWE MultilingualSource 70.2%Not comparable
Terminal-Bench 2.0Source 56.6%Not comparable
AA-SciCodeSource 42.0%40.2%DeepSeek V4 Flash (High) leads
AA Coding IndexSource 52.0%Not comparable
Vibe Code BenchSource 22.17%Not comparable
Reasoning
BenchmarkDeepSeek V4 Flash (High)GPT-5.1-Codex-MaxResult
MRCR 1MSource 76.9%Not comparable
CorpusQA 1MSource 59.3%Not comparable
AA-LCRSource 62.7%67.3%GPT-5.1-Codex-Max leads
CritPtSource 3.4%5.7%GPT-5.1-Codex-Max leads
Knowledge
BenchmarkDeepSeek V4 Flash (High)GPT-5.1-Codex-MaxResult
MMLU-ProSource 86.4%Not comparable
SimpleQASource 28.9%Not comparable
Chinese-SimpleQASource 73.2%Not comparable
GPQASource 87.4%Not comparable
GPQA-DSource 87.4%Not comparable
HLESource 29.4%Not comparable
Artificial Analysis Intelligence IndexSource 37.5%34.7%DeepSeek V4 Flash (High) leads
AA-GPQA DiamondSource 86.7%86.0%DeepSeek V4 Flash (High) leads
AA-HLESource 27.8%23.4%DeepSeek V4 Flash (High) leads
AA-Omniscience IndexSource -22.3%-6.0%GPT-5.1-Codex-Max leads
AA-Omniscience AccuracySource 35.5%39.2%GPT-5.1-Codex-Max leads
AA-Omniscience Hallucination RateSource 89.7%74.4%GPT-5.1-Codex-Max leads
Math
BenchmarkDeepSeek V4 Flash (High)GPT-5.1-Codex-MaxResult
HMMT Feb 2026Source 91.9%Not comparable
IMOAnswerBenchSource 85.1%Not comparable
ApexSource 19.1%Not comparable
Apex ShortlistSource 72.1%Not comparable
Multimodal
BenchmarkDeepSeek V4 Flash (High)GPT-5.1-Codex-MaxResult
Design Arena WebsiteSource 1238Not comparable
AA-MMMU-ProSource 72.5%Not comparable
Inst. Following
BenchmarkDeepSeek V4 Flash (High)GPT-5.1-Codex-MaxResult
AA-IFBenchSource 73.5%70.0%DeepSeek V4 Flash (High) leads
Frequently Asked Questions (3)

Can I compare DeepSeek V4 Flash (High) and GPT-5.1-Codex-Max on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for DeepSeek V4 Flash (High) and GPT-5.1-Codex-Max today?

DeepSeek V4 Flash (High): $0.14 input / $0.28 output per 1M tokens GPT-5.1-Codex-Max: $1.25 input / $10.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 23, 2026

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