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Learn, research, or solve a problem · Math and scientific calculations

Best AI model for math — November 2026

On BenchLM's public evidence, Claude Opus 4.8 has the highest math score estimate among the models that meet this page's constraints (80.9). 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 Claude Opus 4.8 vs Qwen3.7 MaxFull math leaderboard

  1. 01Claude Opus 4.8Best fit

    Anthropic · Proprietary

    80.9

    Math score estimate

    • Highest math estimate among candidates passing the measured filters
    • $10.00 for the stated workload
    • 1M context
    • Listed in Anthropic’s current model catalog. Access details · checked July 24, 2026.
    • Provider API offer: Claude API. Check which models qualify and whether payment details are required. Limits and source.

    Model page and evidence

  2. 02Qwen3.7 Max

    Alibaba · Proprietary

    79.0

    Math score estimate

    • Estimate 79.0 on the same math evidence
    • 1M context
    • API access is not verified. Check the provider documentation before relying on it.

    Model page and evidenceCompare with Claude Opus 4.8

  3. 03GLM-5.2

    Z.AI · Open Weight

    75.2

    Math score estimate

    • Estimate 75.2 on the same math evidence
    • $2.28 for the stated workload
    • 1M context
    • Open weights; check hardware before treating local use as feasible
    • API access is not verified. Check the provider documentation before relying on it.

    Model page and evidenceCompare with Claude Opus 4.8

  4. 04Kimi K2.6

    Moonshot AI · Open Weight

    73.7

    Math score estimate

    • Estimate 73.7 on the same math evidence
    • $1.75 for the stated workload
    • 256K context
    • Open weights; check hardware before treating local use as feasible
    • API access is not verified. Check the provider documentation before relying on it.

    Model page and evidenceCompare with Claude Opus 4.8

  5. 05Inkling-Small

    Thinking Machines Lab · Open Weight

    65.0

    Math score estimate

    • Estimate 65.0 on the same math evidence
    • $0.87 for the stated workload
    • 1M context
    • Open weights; check hardware before treating local use as feasible
    • API access is not verified. Check the provider documentation before relying on it.

    Model page and evidenceCompare with Claude Opus 4.8

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.

Describe the task and constraints. This selector recommends models; it cannot carry out the task or access your files and accounts.

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What this shortlist rests on

The math surface. The category score is a weighted average of these public benchmarks.

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, Claude Opus 4.8 by Anthropic has the highest math score estimate among models that meet the page's default constraints (80.9). 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 Claude Opus 4.8 for math?

Qwen3.7 Max (79.0), GLM-5.2 (75.2), Kimi K2.6 (73.7), Inkling-Small (65.0) 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-v5.8-2026-09-30. Read the methodology and benchmark confidence pages for how scores and verification statuses are produced.

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