Model comparison
DeepSeek V4 Flash Base vs GPT-4.1
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Flash Base unranked (Not scored); GPT-4.1 #108 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Flash Base and GPT-4.1 share 1 comparable benchmark result. 1 of 8 categories are comparable. 23 results are unique to DeepSeek V4 Flash Base; 19 to GPT-4.1.
Updated July 23, 2026- Shared results
- 1
- DeepSeek V4 Flash Base only
- 23
- GPT-4.1 only
- 19
- Comparable categories
- 1 / 8
Treat this as a split decision. DeepSeek V4 Flash Base makes more sense if its workflow fits your team better; GPT-4.1 is the better fit if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 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 Base and GPT-4.1 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.
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 Base | Δ | GPT-4.1 |
|---|---|---|---|
| Knowledge | DeepSeek V4 Flash Base56.4 | Margin→ 9.9 | GPT-4.166.3 |
| Coding | DeepSeek V4 Flash BaseNot measured | MarginNo overlap | GPT-4.154.6 |
| Reasoning | DeepSeek V4 Flash Base44.7 | MarginNo overlap | GPT-4.1Not measured |
| Math | DeepSeek V4 Flash BaseNot measured | MarginNo overlap | GPT-4.14.1 |
| Inst. Following | DeepSeek V4 Flash BaseNot measured | MarginNo overlap | GPT-4.187.4 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Flash Base | GPT-4.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Flash BaseNot available | GPT-4.1$2 input / $8 output | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V4 Flash BaseNot available | GPT-4.1108 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Flash BaseNot available | GPT-4.11.02 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Flash Base1M | GPT-4.11M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding4 benchmarks
Reasoning8 benchmarks
| Benchmark | DeepSeek V4 Flash Base | GPT-4.1 | Result |
|---|---|---|---|
| BBHSource | 86.9% | — | Not comparable |
| DROPSource | 88.6% | — | Not comparable |
| HellaSwagSource | 85.7% | — | Not comparable |
| WinoGrandeSource | 79.5% | — | Not comparable |
| CLUEWSCSource | 82.2% | — | Not comparable |
| LongBench v2Source | 44.7% | — | Not comparable |
| AA-LCRSource | — | 61.0% | Not comparable |
| CritPtSource | — | 0.0% | Not comparable |
KnowledgeGPT-4.1 wins19 benchmarks
| Benchmark | DeepSeek V4 Flash Base | GPT-4.1 | Result |
|---|---|---|---|
| AGIEvalSource | 82.6% | — | Not comparable |
| MMLUSource | 88.7% | 90.2% | GPT-4.1 leads |
| MMLU-ReduxSource | 89.4% | — | Not comparable |
| MMLU-ProSource | 68.3% | — | Not comparable |
| MMMLUSource | 88.8% | — | Not comparable |
| C-EvalSource | 92.1% | — | Not comparable |
| CMMLUSource | 90.4% | — | Not comparable |
| MultiLoKoSource | 42.2% | — | Not comparable |
| SimpleQASource | 30.1% | — | Not comparable |
| SuperGPQASource | 46.5% | — | Not comparable |
| FACTS ParametricSource | 33.9% | — | Not comparable |
| TriviaQASource | 82.8% | — | Not comparable |
| GPQASource | — | 66.3% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 19.4% | Not comparable |
| AA-GPQA DiamondSource | — | 66.6% | Not comparable |
| AA-HLESource | — | 4.6% | Not comparable |
| AA-Omniscience IndexSource | — | -36.2% | Not comparable |
| AA-Omniscience AccuracySource | — | 24.2% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 79.6% | Not comparable |
Math5 benchmarks
Multilingual1 benchmarks
| Benchmark | DeepSeek V4 Flash Base | GPT-4.1 | Result |
|---|---|---|---|
| MGSMSource | 85.7% | — | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, DeepSeek V4 Flash Base or GPT-4.1?
DeepSeek V4 Flash Base and GPT-4.1 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 Base or GPT-4.1?
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 66.3 versus 56.4. Inside this category, MMLU is the benchmark that creates the most daylight between them.
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