Best AI model for math — September 2026
On BenchLM's public evidence, Kimi K2.6 has the highest math score estimate among the models that meet this page's constraints (71.0). Math tests are relevant evidence; tool execution and scientific judgment still need separate validation.
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The shortlist for math
Constraints on this page: a builder choosing by accuracy, hosted processing allowed, any price, ordinary input size. Change any of them under Refine. A small score gap does not establish a reliably better model.
Compare Kimi K2.6 vs Claude Opus 4.8Full math leaderboard
01Kimi K2.6Best fit
Moonshot AI · Open Weight
71.0
Math score estimate
- Highest math estimate among models that meet every stated constraint
- $1.75 for the stated workload
- 256K context
- Open weights, so it can run on your own hardware
02Claude Opus 4.8
Anthropic · Proprietary
65.2
Math score estimate
- Estimate 65.2 on the same math evidence
- $10.00 for the stated workload
- 1M context
03GLM-5.1
Z.AI · Open Weight
63.8
Math score estimate
- Estimate 63.8 on the same math evidence
- $2.28 for the stated workload
- 203K context
- Open weights, so it can run on your own hardware
04Kimi K2.5
Moonshot AI · Open Weight
62.1
Math score estimate
- Estimate 62.1 on the same math evidence
- $1.20 for the stated workload
- 256K context
- Open weights, so it can run on your own hardware
05Qwen3.6 Plus
Alibaba · Proprietary
62.0
Math score estimate
- Estimate 62.0 on the same math evidence
- 1M context
Refine for your situation
Each link opens the selector with one answer changed. The address carries the answers, so your version is as shareable as this page.
What this shortlist rests on
The math surface. The category score is a weighted average of these public benchmarks.
- 30%FrontierMath v2 (Tiers 1-3)Current
- 25%AIME26Current
- 25%HMMT Feb 2026Current
- 10%FrontierMath v2 (Tier 4)Current
- 10%USAMO 2026Current
What to verify before choosing
- Math tests are relevant evidence; tool execution and scientific judgment still need separate validation.
- Composite scores are estimates. A small score gap does not establish a reliably better model.
Try three representative examples of your own work. Compare errors, time, cost, and the tools available in your actual setup.
Questions
Which AI model is best for math?
On BenchLM's public evidence, Kimi K2.6 by Moonshot AI has the highest math score estimate among models that meet the page's default constraints (71.0). Ordered by task score under the stated constraints. Math tests are relevant evidence; tool execution and scientific judgment still need separate validation.
What are the alternatives to Kimi K2.6 for math?
Claude Opus 4.8 (65.2), GLM-5.1 (63.8), Kimi K2.5 (62.1), Qwen3.6 Plus (62.0) follow on the same evidence. A small gap does not establish a reliably better model; compare them on three representative examples of your own work.
How does BenchLM pick the best ai model for math?
The page runs the LLM Selector with fixed answers: a builder choosing by accuracy, hosted processing allowed, any price, ordinary input size. The selector uses the math evidence surface, filters by the stated constraints, and orders by that evidence. It never adds a hidden fit score or a bonus for open weights or reasoning style.
Can I change the constraints?
Yes. Every link under "Refine" opens the selector with one answer changed, and the address carries the answers so a result can be shared or reopened against the current dataset.
Method: bench-align-v5.5-2026-09-04. Read the methodology and benchmark confidence pages for how scores and verification statuses are produced.
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