Model comparison
DeepSeek V4 Pro Base vs DeepSeek V4 Pro (Max)
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Sibling matchup inside the DeepSeek V4 family.
Evidence parity. DeepSeek V4 Pro Base and DeepSeek V4 Pro (Max) share 2 comparable benchmark results. 1 of 8 categories are comparable. 22 results are unique to DeepSeek V4 Pro Base; 46 to DeepSeek V4 Pro (Max).
Updated July 23, 2026- Shared results
- 2
- DeepSeek V4 Pro Base only
- 22
- DeepSeek V4 Pro (Max) only
- 46
- Comparable categories
- 1 / 8
DeepSeek V4 Pro Base makes more sense if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model, while DeepSeek V4 Pro (Max) is the cleaner fit if you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results 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 Pro Base and DeepSeek V4 Pro (Max) sit in the same DeepSeek V4 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
DeepSeek V4 Pro Base and DeepSeek V4 Pro (Max) 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.
DeepSeek V4 Pro (Max) is the reasoning model in the pair, while DeepSeek V4 Pro Base 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 Pro Base | Δ | DeepSeek V4 Pro (Max) |
|---|---|---|---|
| Knowledge | DeepSeek V4 Pro Base66.4 | Margin← 6.3 | DeepSeek V4 Pro (Max)60.1 |
| Agentic | DeepSeek V4 Pro BaseNot measured | MarginNo overlap | DeepSeek V4 Pro (Max)74.5 |
| Coding | DeepSeek V4 Pro BaseNot measured | MarginNo overlap | DeepSeek V4 Pro (Max)70.9 |
| Reasoning | DeepSeek V4 Pro Base51.5 | MarginNo overlap | DeepSeek V4 Pro (Max)Not measured |
| Math | DeepSeek V4 Pro BaseNot measured | MarginNo overlap | DeepSeek V4 Pro (Max)95.2 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMLU-Pro
KnowledgeA 73.5%B 87.5%Winner: DeepSeek V4 Pro (Max)Δ 14MMLU-Pro: DeepSeek V4 Pro Base scored 73.5%; DeepSeek V4 Pro (Max) scored 87.5%. DeepSeek V4 Pro (Max) wins this benchmark. - Source ↗
SimpleQA
KnowledgeA 55.2%B 57.9%Winner: DeepSeek V4 Pro (Max)Δ 2.7SimpleQA: DeepSeek V4 Pro Base scored 55.2%; DeepSeek V4 Pro (Max) scored 57.9%. DeepSeek V4 Pro (Max) wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro Base | DeepSeek V4 Pro (Max) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro BaseNot available | DeepSeek V4 Pro (Max)$0.435 input / $0.87 output | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V4 Pro BaseNot available | DeepSeek V4 Pro (Max)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro BaseNot available | DeepSeek V4 Pro (Max)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro Base1M | DeepSeek V4 Pro (Max)1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic17 benchmarks
| Benchmark | DeepSeek V4 Pro Base | DeepSeek V4 Pro (Max) | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 67.9% | Not comparable |
| BrowseCompSource | — | 83.4% | Not comparable |
| HLE w/ toolsSource | — | 48.2% | Not comparable |
| MCP AtlasSource | — | 73.6% | Not comparable |
| GDPval-AASource | — | 1307 | Not comparable |
| ToolathlonSource | — | 51.8% | Not comparable |
| AA Agentic IndexSource | — | 36.4% | Not comparable |
| APEX-Agents-AASource | — | 24.3% | Not comparable |
| τ²-bench resultsSource | — | 96.2% | Not comparable |
| GDPval-AASource | — | 40.4% | Not comparable |
| AA BriefcaseSource | — | 932 | Not comparable |
| AA EnterpriseOps-GymSource | — | 40.4% | Not comparable |
| AA Harvey LABSource | — | 84.4% | Not comparable |
| AA ITBenchSource | — | 38.3% | Not comparable |
| AA Tau3 BankingSource | — | 25.8% | Not comparable |
| terminalBenchHardSource | — | 46.2% | Not comparable |
| aaTerminalBench21Source | — | 64% | Not comparable |
Coding10 benchmarks
| Benchmark | DeepSeek V4 Pro Base | DeepSeek V4 Pro (Max) | Result |
|---|---|---|---|
| BigCodeBenchSource | 59.2% | — | Not comparable |
| HumanEvalSource | 76.8% | — | Not comparable |
| CodeforcesSource | — | 3206.0 | Not comparable |
| SWE-bench VerifiedSource | — | 80.6% | Not comparable |
| SWE-bench ProSource | — | 55.4% | Not comparable |
| SWE MultilingualSource | — | 76.2% | Not comparable |
| Terminal-Bench 2.0Source | — | 67.9% | Not comparable |
| Vibe Code BenchSource | — | 49.93% | Not comparable |
| AA Coding IndexSource | — | 59.4% | Not comparable |
| AA-SciCodeSource | — | 50.0% | Not comparable |
Reasoning10 benchmarks
| Benchmark | DeepSeek V4 Pro Base | DeepSeek V4 Pro (Max) | Result |
|---|---|---|---|
| BBHSource | 87.5% | — | Not comparable |
| DROPSource | 88.7% | — | Not comparable |
| HellaSwagSource | 88.0% | — | Not comparable |
| WinoGrandeSource | 81.5% | — | Not comparable |
| CLUEWSCSource | 85.2% | — | Not comparable |
| LongBench v2Source | 51.5% | — | Not comparable |
| MRCR 1MSource | — | 83.5% | Not comparable |
| CorpusQA 1MSource | — | 62.0% | Not comparable |
| AA-LCRSource | — | 66.3% | Not comparable |
| CritPtSource | — | 12.9% | Not comparable |
KnowledgeDeepSeek V4 Pro Base wins23 benchmarks
| Benchmark | DeepSeek V4 Pro Base | DeepSeek V4 Pro (Max) | Result |
|---|---|---|---|
| AGIEvalSource | 83.1% | — | Not comparable |
| MMLUSource | 90.1% | — | Not comparable |
| MMLU-ReduxSource | 90.8% | — | Not comparable |
| MMLU-ProSource | 73.5% | 87.5% | DeepSeek V4 Pro (Max) leads |
| MMMLUSource | 90.3% | — | Not comparable |
| C-EvalSource | 93.1% | — | Not comparable |
| CMMLUSource | 90.8% | — | Not comparable |
| MultiLoKoSource | 51.1% | — | Not comparable |
| SimpleQASource | 55.2% | 57.9% | DeepSeek V4 Pro (Max) leads |
| SuperGPQASource | 53.9% | — | Not comparable |
| FACTS ParametricSource | 62.6% | — | Not comparable |
| TriviaQASource | 85.6% | — | Not comparable |
| Chinese-SimpleQASource | — | 84.4% | Not comparable |
| GPQASource | — | 90.1% | Not comparable |
| GPQA-DSource | — | 90.1% | Not comparable |
| HLESource | — | 37.7% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 44.3% | Not comparable |
| AA-GPQA DiamondSource | — | 88.8% | Not comparable |
| AA-HLESource | — | 35.9% | Not comparable |
| AA-Omniscience IndexSource | — | -10.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 43.3% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 94.0% | Not comparable |
| AA Openness IndexSource | — | 50.0% | Not comparable |
Math7 benchmarks
| Benchmark | DeepSeek V4 Pro Base | DeepSeek V4 Pro (Max) | Result |
|---|---|---|---|
| GSM8KSource | 92.6% | — | Not comparable |
| MATHSource | 64.5% | — | Not comparable |
| CMathSource | 90.9% | — | Not comparable |
| HMMT Feb 2026Source | — | 95.2% | Not comparable |
| IMOAnswerBenchSource | — | 89.8% | Not comparable |
| ApexSource | — | 38.3% | Not comparable |
| Apex ShortlistSource | — | 90.2% | Not comparable |
Multilingual1 benchmarks
| Benchmark | DeepSeek V4 Pro Base | DeepSeek V4 Pro (Max) | Result |
|---|---|---|---|
| MGSMSource | 84.4% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro Base | DeepSeek V4 Pro (Max) | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1264 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Pro Base | DeepSeek V4 Pro (Max) | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 76.5% | Not comparable |
Frequently Asked Questions (2)
Which is better, DeepSeek V4 Pro Base or DeepSeek V4 Pro (Max)?
DeepSeek V4 Pro Base and DeepSeek V4 Pro (Max) are sibling variants in the DeepSeek V4 family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. They are tied on the BenchAlign leaderboard on the current data.
Which is better for knowledge tasks, DeepSeek V4 Pro Base or DeepSeek V4 Pro (Max)?
DeepSeek V4 Pro Base has the edge for knowledge tasks in this comparison, averaging 66.4 versus 60.1. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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