Best AI for Logical Reasoning
in 2026
A live leaderboard, re-run every month on current models: 8 hard reasoning tests, from deduction puzzles and syllogisms to exact calendar bookkeeping, scored strictly with no LLM judge. See which models lead now, then test them on your own problems.
Live Leaderboard: November 2026
Re-run every month on current model versions: a hard logical reasoning task with 8 tests, 3 passes per model, and strict deterministic scoring (no LLM judge).
7 models reach 100%, and the cheapest of them costs 33x less than the priciest. A shared test can't separate them; your own prompts usually can.
| # | Model | Score | Cost/run |
|---|---|---|---|
| 1 | DeepSeek-V4.1-Flash | 100.0% | $0.0090 |
| 2 | GPT-5.6 Sol | 100.0% | $0.063 |
| 3 | DeepSeek-V4-Pro | 100.0% | $0.139 |
| 4 | Claude Opus 5 @high | 100.0% | $0.155 |
| 5 | Claude Opus 5 | 100.0% | $0.190 |
| 6 | Gemini 3.1 Pro @high | 100.0% | $0.239 |
| 7 | Gemini 3.1 Pro | 100.0% | $0.295 |
| 8 | GPT-5.6 Luna | 95.8% | $0.0038 |
...plus 7 more models in the app leaderboard.
Run this benchmark yourself, free Then swap in your own prompts. 50 free credits, no card.
What the November 2026 Run Tests (and Does Not Test)
Key Findings: November 2026
🏆 Accuracy: 7 Models Reach 100%
DeepSeek-V4.1-Flash, GPT-5.6 Sol, DeepSeek-V4-Pro, Claude Opus 5 (high effort), Claude Opus 5, Gemini 3.1 Pro (high effort) and Gemini 3.1 Pro all scored 100%. Next: GPT-5.6 Luna at 95.8%. Across the 15 ranked model variants, scores run from 50% to 100%.
💰 Cost: The Same Top Score at 33x the Price
DeepSeek-V4.1-Flash reached 100% for $0.0090 per run. Gemini 3.1 Pro reached the same score for $0.295. The cheapest model above 90% was GPT-5.6 Luna (95.8%, $0.0038 per run).
⚡ Speed: GPT-5.6 Sol Is the Fastest Near the Top
Among models within 5 points of the top score, GPT-5.6 Sol finished a run of the 8 tests in 32s on average at 100%. DeepSeek-V4-Pro took 358s for 100%.
📉 Paying More Didn't Score More
Claude Haiku 4.5 costs $0.036 per run and scored 50%, below Gemini 3.1 Flash-Lite at 62.5% for $0.0035, 10x less.
Not ranked this month: Qwen3.7 Max. No run completed at the provider (errors or refusals), so a score would say nothing about the model.
What Makes These Tests Hard
⚖️ Generic Benchmarks vs. Custom Benchmarks
This leaderboard is a directional signal, not a universal reasoning ranking. It tests puzzles with one verified answer. Your work might involve open-ended analysis, planning over many steps, or reasoning over your own documents.
When several models tie at the top, what separates them is cost, speed, and how each one handles your problems. That is what a benchmark on your own cases shows.
These results are valid for this task design and scoring setup. Change the task, constraints, or scoring, and rankings can change, which is exactly why custom benchmarking matters.
Frequently Asked Questions
Which AI model is best for logical reasoning in 2026?
It changes from month to month, so we keep a live answer: the leaderboard at the top of this page is re-run every month on current flagship and budget models, with 8 hard reasoning tests. Several frontier models often share the top score, and the cheapest of them can cost a fraction of the priciest. The best model for you depends on your problems, so run the same benchmark on your own cases, free.
Can AI solve logic puzzles?
Mostly, yes. Current frontier models solve classic deduction puzzles such as knights and liars reliably. Where they still slip is exact bookkeeping: counting days across leap years and holidays, or calendar questions with one right answer. Smaller models drop further on both.
Is GPT or Claude better at reasoning?
Neither wins consistently. Both providers' current flagships score near the top of our monthly leaderboard, and the order between them changes with model versions and tests. Compare them on your own problems: that gap is the one that matters.
What is the cheapest AI for reasoning tasks?
Budget models such as DeepSeek's Flash line, GPT Luna, Gemini Flash-Lite and Grok 4.1 Fast cost 10 to 100 times less per run than flagships, and on our tests some of them reach the top score. The live table shows each model's cost per run next to its score.
How does OpenMark benchmark logical reasoning?
With deterministic checks and no LLM judge: every test has one verified answer in a strict format, so a plausible explanation with a wrong result scores zero. Every model runs the same 8 tests 3 times, and we report the average score, its stability and the real cost per run.
Can OpenMark just do this for me?
Yes. For logical reasoning, the done-for-you audit is from $299 with 48-hour turnaround. Send your task definition, sample inputs, and pass/fail criteria; we benchmark it across all relevant models (up to 30+) and return a report with the recommended primary, fallbacks, and cost projections at your volume. See the audit service →
Why Teams Use OpenMark AI
You define the evaluation in your words, for your use case. Not MMLU, not HumanEval — your actual prompts, your actual data.
Multiple runs per model with variance tracking. A model that scores 90 once and 60 the next isn't the same as one that scores 85 every time.
See which model is cheapest for your task — scored against quality, not just raw price-per-token.
No accounts with OpenAI, Anthropic, or Google required. OpenMark AI handles every API call — just describe your task and run.
Don't want to design the test yourself? Have us run it for you.
If you don't want to design the logical reasoning test yourself or maintain it as new models ship — we run it for you on your data. Send us your task, we benchmark it across all relevant models (up to 30+) and send back a synthesized report with the recommended primary, fallbacks, cost-at-volume, and re-test triggers. From $299, 48-hour turnaround, no call required.
Benchmark AI Models on Your Reasoning Tasks
Test which model handles YOUR logic puzzles, deductions, and reasoning chains best.
Build custom benchmarks for any task — text, code, structured output, classification, images, and more.
50 free credits — no API keys, no setup.