Model comparison
DeepSeek V4 Flash (Max) vs GPT-4.1 nano
Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Flash (Max) unranked (Not scored); GPT-4.1 nano #161 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Flash (Max) and GPT-4.1 nano share 17 comparable benchmark results. 2 of 8 categories are comparable. 28 results are unique to DeepSeek V4 Flash (Max); 4 to GPT-4.1 nano.
Updated July 23, 2026- Shared results
- 17
- DeepSeek V4 Flash (Max) only
- 28
- GPT-4.1 nano only
- 4
- Comparable categories
- 2 / 8
Treat this as a split decision. DeepSeek V4 Flash (Max) makes more sense if mathematics is the priority or you want the cheaper token bill; GPT-4.1 nano is the better fit if you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 6 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
DeepSeek V4 Flash (Max) and GPT-4.1 nano finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
GPT-4.1 nano is also the more expensive model on tokens at $0.10 input / $0.40 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (Max). DeepSeek V4 Flash (Max) is the reasoning model in the pair, while GPT-4.1 nano is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
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 | DeepSeek V4 Flash (Max) | Δ | GPT-4.1 nano |
|---|---|---|---|
| Math | DeepSeek V4 Flash (Max)94.8 | Margin← 93.8 | GPT-4.1 nano1.0 |
| Knowledge | DeepSeek V4 Flash (Max)55.3 | Margin← 5.0 | GPT-4.1 nano50.3 |
| Agentic | DeepSeek V4 Flash (Max)63.8 | MarginNo overlap | GPT-4.1 nanoNot measured |
| Coding | DeepSeek V4 Flash (Max)68.8 | MarginNo overlap | GPT-4.1 nanoNot measured |
| Inst. Following | DeepSeek V4 Flash (Max)Not measured | MarginNo overlap | GPT-4.1 nano83.2 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 88.1%B 50.3%Winner: DeepSeek V4 Flash (Max)Δ 37.8GPQA: DeepSeek V4 Flash (Max) scored 88.1%; GPT-4.1 nano scored 50.3%. DeepSeek V4 Flash (Max) wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Flash (Max) | GPT-4.1 nano | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Flash (Max)$0.14 input / $0.28 output | GPT-4.1 nano$0.1 input / $0.4 output | DeepSeek V4 Flash (Max) has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 Flash (Max)Not available | GPT-4.1 nano181 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Flash (Max)Not available | GPT-4.1 nano0.63 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Flash (Max)1M | GPT-4.1 nano1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic15 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | GPT-4.1 nano | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 56.9% | — | Not comparable |
| BrowseCompSource | 73.2% | — | Not comparable |
| HLE w/ toolsSource | 45.1% | — | Not comparable |
| MCP AtlasSource | 69% | — | Not comparable |
| GDPval-AASource | 1189 | 41 | DeepSeek V4 Flash (Max) leads |
| ToolathlonSource | 47.8% | — | Not comparable |
| AA Agentic IndexSource | 31.1% | 1.2% | DeepSeek V4 Flash (Max) leads |
| τ²-bench resultsSource | 95% | 17.3% | DeepSeek V4 Flash (Max) leads |
| GDPval-AASource | 34.4% | 0.0% | DeepSeek V4 Flash (Max) leads |
| AA BriefcaseSource | 831 | — | Not comparable |
| AA EnterpriseOps-GymSource | 39.6% | — | Not comparable |
| AA Harvey LABSource | 81.3% | — | Not comparable |
| AA ITBenchSource | 31.5% | — | Not comparable |
| AA Tau3 BankingSource | 22.9% | — | Not comparable |
| terminalBenchHardSource | 35.6% | — | Not comparable |
Coding7 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | GPT-4.1 nano | Result |
|---|---|---|---|
| CodeforcesSource | 3052.0 | — | Not comparable |
| SWE-bench VerifiedSource | 79% | — | Not comparable |
| SWE-bench ProSource | 52.6% | — | Not comparable |
| SWE MultilingualSource | 73.3% | — | Not comparable |
| Terminal-Bench 2.0Source | 56.9% | — | Not comparable |
| AA Coding IndexSource | 56.2% | 11.1% | DeepSeek V4 Flash (Max) leads |
| AA-SciCodeSource | 44.9% | 25.9% | DeepSeek V4 Flash (Max) leads |
Reasoning4 benchmarks
KnowledgeDeepSeek V4 Flash (Max) wins14 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | GPT-4.1 nano | Result |
|---|---|---|---|
| MMLU-ProSource | 86.2% | — | Not comparable |
| SimpleQASource | 34.1% | — | Not comparable |
| Chinese-SimpleQASource | 78.9% | — | Not comparable |
| GPQASource | 88.1% | 50.3% | DeepSeek V4 Flash (Max) leads |
| GPQA-DSource | 88.1% | — | Not comparable |
| HLESource | 34.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 40.3% | 9.6% | DeepSeek V4 Flash (Max) leads |
| AA-GPQA DiamondSource | 89.4% | 51.2% | DeepSeek V4 Flash (Max) leads |
| AA-HLESource | 32.1% | 3.9% | DeepSeek V4 Flash (Max) leads |
| AA-Omniscience IndexSource | -22.9% | -56.4% | DeepSeek V4 Flash (Max) leads |
| AA-Omniscience AccuracySource | 37.2% | 13.3% | DeepSeek V4 Flash (Max) leads |
| AA-Omniscience Hallucination RateSource | 95.8% | 80.4% | GPT-4.1 nano leads |
| AA Openness IndexSource | 50.0% | — | Not comparable |
| MMLUSource | — | 80.1% | Not comparable |
MathDeepSeek V4 Flash (Max) wins5 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (3)
Which is better, DeepSeek V4 Flash (Max) or GPT-4.1 nano?
DeepSeek V4 Flash (Max) and GPT-4.1 nano are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, DeepSeek V4 Flash (Max) or GPT-4.1 nano?
DeepSeek V4 Flash (Max) has the edge for knowledge tasks in this comparison, averaging 55.3 versus 50.3. Inside this category, AA-GPQA Diamond is the benchmark that creates the most daylight between them.
Which is better for math, DeepSeek V4 Flash (Max) or GPT-4.1 nano?
DeepSeek V4 Flash (Max) has the edge for math in this comparison, averaging 94.8 versus 1. GPT-4.1 nano stays close enough that the answer can still flip depending on your workload.
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