Claude Opus 4.7 for math
Claude Opus 4.7 is the #3 pick on LLMDex's llm for math ranking out of 6 models we track for this use case. Below, the specific reasons it slots where it does, and when you should reach for an alternative.
Updated
At a glance
- Rank
- #3 of 6
- Context
- 500K tokens
- Output / 1M
- Pricing not published
- Released
- Feb 2026
Why Claude Opus 4.7 fits this task
Three things about Claude Opus 4.7 that map directly onto what this task rewards: Strongest published SWE-bench Verified scores in agent settings; Best-in-class writing quality and voice control. Beyond the task-specific fit, Claude Opus 4.7 also brings excellent long-context recall and citation discipline and robust tool-use across long agent loops, both of which compound when the workload broadens.
The criteria this task rewards
LLMDex ranks best llm for math on 5 criteria , these are the axes the ranking uses, in priority order:
- MATH-500, AIME, USAMO, Putnam scores
- Step-by-step reasoning quality (not just final answer)
- Symbolic vs. numerical handling
- Tool-use for code-execution / Wolfram integration
- Latency on reasoning models, math thinking is slow
How Claude Opus 4.7 scores on each axis
Where Claude Opus 4.7 costs you: premium pricing relative to gpt-5 line. For most teams this is acceptable on this workload, the value of the strengths above outweighs the cost. For cost-bound workloads or teams with strict latency budgets, run an eval against the next two ranked models on real data before committing.
Strengths that pay off here
- Strongest published SWE-bench Verified scores in agent settings
- Best-in-class writing quality and voice control
- Excellent long-context recall and citation discipline
- Robust tool-use across long agent loops
Tracked weaknesses
- Premium pricing relative to GPT-5 line
- More conservative refusal patterns on edge content than peers
When to pick something else
If you can pay slightly more or accept slightly different tradeoffs, GPT-5.5 from OpenAI ranks one position higher and tends to win on the hardest cases. OpenAI's mid-cycle GPT-5 refresh, improved reasoning, tool use, and multimodal grounding over the 2025 launch.
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Other models for math
- o3 for math
OpenAI's flagship reasoning model, set the bar for hard math, GPQA, and agent benchmarks in 2025.
Read guide - GPT-5.5 for math
OpenAI's mid-cycle GPT-5 refresh, improved reasoning, tool use, and multimodal grounding over the 2025 launch.
Read guide - DeepSeek-R1 for math
First open-weight reasoning model to match o1, the release that proved RL-from-scratch reasoning training was reproducible.
Read guide - o4 for math
OpenAI's late-2025 standalone reasoning model, an evolution of o3 with deeper chain-of-thought and stronger multimodal reasoning.
Read guide - Gemini 3 Pro for math
Google's late-2025 flagship, set new benchmarks on long-context, vision, and reasoning at competitive pricing.
Read guide
Claude Opus 4.7 for other use cases
Direct comparisons
Frequently asked
Is Claude Opus 4.7 good for math?
Claude Opus 4.7 is ranked #3 on LLMDex's math list. Anthropic's mid-2026 flagship, ahead on SWE-bench, agent reliability, and writing quality.How much does Claude Opus 4.7 cost for math?
Anthropic has not published per-token pricing for Claude Opus 4.7 at the time of writing.What's a cheaper alternative to Claude Opus 4.7 for math?
The next ranked model on this task is DeepSeek-R1. Compare both before committing.When should I NOT use Claude Opus 4.7 for math?
Tracked weakness: Premium pricing relative to GPT-5 line. If that constraint is binding for your workload, the next-ranked model on this task is the safer pick.
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