Model comparison
DeepSeek V4 Pro (High) vs MAI-Thinking-1
Head-to-head evidence from 9 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro (High) #81 (Estimated); MAI-Thinking-1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro (High) and MAI-Thinking-1 share 9 comparable benchmark results. 4 of 8 categories are comparable. 29 results are unique to DeepSeek V4 Pro (High); 4 to MAI-Thinking-1.
Updated July 23, 2026- Shared results
- 9
- DeepSeek V4 Pro (High) only
- 29
- MAI-Thinking-1 only
- 4
- Comparable categories
- 4 / 8
Treat this as a split decision. DeepSeek V4 Pro (High) makes more sense if agentic is the priority or you need the larger 1M context window; MAI-Thinking-1 is the better fit if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 4 evidence categories; 4 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 (High) and MAI-Thinking-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.
DeepSeek V4 Pro (High) gives you the larger context window at 1M, compared with 256K for MAI-Thinking-1.
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 (High) | Δ | MAI-Thinking-1 |
|---|---|---|---|
| Agentic | DeepSeek V4 Pro (High)70.6 | Margin← 24.6 | MAI-Thinking-146.0 |
| Knowledge | DeepSeek V4 Pro (High)57.0 | Margin→ 15.5 | MAI-Thinking-172.5 |
| Coding | DeepSeek V4 Pro (High)69.8 | Margin← 4.3 | MAI-Thinking-165.5 |
| Math | DeepSeek V4 Pro (High)94.0 | Margin← 4.3 | MAI-Thinking-189.7 |
| Inst. Following | DeepSeek V4 Pro (High)Not measured | MarginNo overlap | MAI-Thinking-185.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 63.3%B 46%Winner: DeepSeek V4 Pro (High)Δ 17.3Terminal-Bench 2.0: DeepSeek V4 Pro (High) scored 63.3%; MAI-Thinking-1 scored 46%. DeepSeek V4 Pro (High) wins this benchmark. - Source ↗
SimpleQA
KnowledgeA 46.2%B 31%Winner: DeepSeek V4 Pro (High)Δ 15.2SimpleQA: DeepSeek V4 Pro (High) scored 46.2%; MAI-Thinking-1 scored 31%. DeepSeek V4 Pro (High) wins this benchmark. - Source ↗
HMMT Feb 2026
MathA 94.0%B 84.9%Winner: DeepSeek V4 Pro (High)Δ 9.1HMMT Feb 2026: DeepSeek V4 Pro (High) scored 94.0%; MAI-Thinking-1 scored 84.9%. DeepSeek V4 Pro (High) wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 79.4%B 73.5%Winner: DeepSeek V4 Pro (High)Δ 5.9SWE-bench Verified: DeepSeek V4 Pro (High) scored 79.4%; MAI-Thinking-1 scored 73.5%. DeepSeek V4 Pro (High) wins this benchmark. - Source ↗
GPQA
KnowledgeA 89.1%B 84.2%Winner: DeepSeek V4 Pro (High)Δ 4.9GPQA: DeepSeek V4 Pro (High) scored 89.1%; MAI-Thinking-1 scored 84.2%. DeepSeek V4 Pro (High) wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro (High) | MAI-Thinking-1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro (High)$0.435 input / $0.87 output | MAI-Thinking-1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V4 Pro (High)Not available | MAI-Thinking-1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro (High)Not available | MAI-Thinking-1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro (High)1M | MAI-Thinking-1256K | DeepSeek V4 Pro (High) lists the larger context window. |
Benchmark Deep Dive
AgenticDeepSeek V4 Pro (High) wins9 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | MAI-Thinking-1 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 63.3% | 46% | DeepSeek V4 Pro (High) leads |
| BrowseCompSource | 80.4% | — | Not comparable |
| HLE w/ toolsSource | 44.7% | — | Not comparable |
| MCP AtlasSource | 74.2% | — | Not comparable |
| ToolathlonSource | 49% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | — | Not comparable |
| GDPval-AASource | 39.9% | — | Not comparable |
| GDPval-AASource | 1299 | — | Not comparable |
| AA Agentic IndexSource | 34.4% | — | Not comparable |
CodingDeepSeek V4 Pro (High) wins7 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | MAI-Thinking-1 | Result |
|---|---|---|---|
| CodeforcesSource | 2919.0 | — | Not comparable |
| SWE-bench VerifiedSource | 79.4% | 73.5% | DeepSeek V4 Pro (High) leads |
| SWE-bench ProSource | 54.4% | 52.8% | DeepSeek V4 Pro (High) leads |
| SWE MultilingualSource | 74.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 63.3% | 46.0% | DeepSeek V4 Pro (High) leads |
| AA-SciCodeSource | 46.4% | — | Not comparable |
| AA Coding IndexSource | 58.7% | — | Not comparable |
Reasoning5 benchmarks
KnowledgeMAI-Thinking-1 wins12 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | MAI-Thinking-1 | Result |
|---|---|---|---|
| MMLU-ProSource | 87.1% | 85% | DeepSeek V4 Pro (High) leads |
| SimpleQASource | 46.2% | 31% | DeepSeek V4 Pro (High) leads |
| Chinese-SimpleQASource | 77.7% | — | Not comparable |
| GPQASource | 89.1% | 84.2% | DeepSeek V4 Pro (High) leads |
| GPQA-DSource | 89.1% | 84.2% | DeepSeek V4 Pro (High) leads |
| HLESource | 34.5% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 43.1% | — | Not comparable |
| AA-GPQA DiamondSource | 90.5% | — | Not comparable |
| AA-HLESource | 33.5% | — | Not comparable |
| AA-Omniscience IndexSource | -9.7% | — | Not comparable |
| AA-Omniscience AccuracySource | 41.8% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 88.6% | — | Not comparable |
MathDeepSeek V4 Pro (High) wins6 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | MAI-Thinking-1 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | — | Not comparable |
Frequently Asked Questions (5)
Which is better, DeepSeek V4 Pro (High) or MAI-Thinking-1?
DeepSeek V4 Pro (High) and MAI-Thinking-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 Pro (High) or MAI-Thinking-1?
MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 72.5 versus 57. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V4 Pro (High) or MAI-Thinking-1?
DeepSeek V4 Pro (High) has the edge for coding in this comparison, averaging 69.8 versus 65.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for math, DeepSeek V4 Pro (High) or MAI-Thinking-1?
DeepSeek V4 Pro (High) has the edge for math in this comparison, averaging 94 versus 89.7. Inside this category, HMMT Feb 2026 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, DeepSeek V4 Pro (High) or MAI-Thinking-1?
DeepSeek V4 Pro (High) has the edge for agentic tasks in this comparison, averaging 70.6 versus 46. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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