Model comparison
GPT-5.2 vs MAI-Thinking-1
Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.2 #64 (Estimated); MAI-Thinking-1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2 and MAI-Thinking-1 share 3 comparable benchmark results. 4 of 8 categories are comparable. 25 results are unique to GPT-5.2; 10 to MAI-Thinking-1.
Updated July 23, 2026- Shared results
- 3
- GPT-5.2 only
- 25
- MAI-Thinking-1 only
- 10
- Comparable categories
- 4 / 8
Treat this as a split decision. GPT-5.2 makes more sense if knowledge is the priority or you need the larger 400K context window; MAI-Thinking-1 is the better fit if mathematics is the priority.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 2 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
GPT-5.2 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.
GPT-5.2 gives you the larger context window at 400K, 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 | GPT-5.2 | Δ | MAI-Thinking-1 |
|---|---|---|---|
| Math | GPT-5.235.2 | Margin→ 54.5 | MAI-Thinking-189.7 |
| Knowledge | GPT-5.292.4 | Margin← 19.9 | MAI-Thinking-172.5 |
| Agentic | GPT-5.255.7 | Margin← 9.7 | MAI-Thinking-146.0 |
| Coding | GPT-5.270.6 | Margin← 5.1 | MAI-Thinking-165.5 |
| Reasoning | GPT-5.252.9 | MarginNo overlap | MAI-Thinking-1Not measured |
| Multimodal | GPT-5.280.4 | MarginNo overlap | MAI-Thinking-1Not measured |
| Inst. Following | GPT-5.2Not measured | MarginNo overlap | MAI-Thinking-185.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 92.4%B 84.2%Winner: GPT-5.2Δ 8.2GPQA: GPT-5.2 scored 92.4%; MAI-Thinking-1 scored 84.2%. GPT-5.2 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 80%B 73.5%Winner: GPT-5.2Δ 6.5SWE-bench Verified: GPT-5.2 scored 80%; MAI-Thinking-1 scored 73.5%. GPT-5.2 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 55.6%B 52.8%Winner: GPT-5.2Δ 2.8SWE-bench Pro: GPT-5.2 scored 55.6%; MAI-Thinking-1 scored 52.8%. GPT-5.2 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.2 | MAI-Thinking-1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2$1.75 input / $14 output | MAI-Thinking-1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.273 tok/s | MAI-Thinking-1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.2130.34 s | MAI-Thinking-1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.2400K | MAI-Thinking-1256K | GPT-5.2 lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.2 wins6 benchmarks
CodingGPT-5.2 wins5 benchmarks
Reasoning4 benchmarks
KnowledgeGPT-5.2 wins10 benchmarks
| Benchmark | GPT-5.2 | MAI-Thinking-1 | Result |
|---|---|---|---|
| GPQASource | 92.4% | 84.2% | GPT-5.2 leads |
| Artificial Analysis Intelligence IndexSource | 42.2% | — | Not comparable |
| AA-GPQA DiamondSource | 90.3% | — | Not comparable |
| AA-HLESource | 35.4% | — | Not comparable |
| AA-Omniscience IndexSource | -1.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 43.8% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 79.7% | — | Not comparable |
| GPQA-DSource | — | 84.2% | Not comparable |
| MMLU-ProSource | — | 85% | Not comparable |
| SimpleQASource | — | 31% | Not comparable |
MathMAI-Thinking-1 wins6 benchmarks
Multimodal5 benchmarks
Frequently Asked Questions (5)
Which is better, GPT-5.2 or MAI-Thinking-1?
GPT-5.2 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, GPT-5.2 or MAI-Thinking-1?
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 72.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.2 or MAI-Thinking-1?
GPT-5.2 has the edge for coding in this comparison, averaging 70.6 versus 65.5. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.2 or MAI-Thinking-1?
MAI-Thinking-1 has the edge for math in this comparison, averaging 89.7 versus 35.2. GPT-5.2 stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, GPT-5.2 or MAI-Thinking-1?
GPT-5.2 has the edge for agentic tasks in this comparison, averaging 55.7 versus 46. MAI-Thinking-1 stays close enough that the answer can still flip depending on your workload.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.