at a glance
| GLM-4.7 Flash | Claude Opus 4.6 | |
|---|---|---|
| provider | Zhipu AI | Anthropic |
| parameters | 730B total / 3B active (MoE) | ~large (est.) |
| context window | 128k tokens | 1m tokens |
benchmarks
what are these models?
GLM-4.7 Flash is Zhipu AI’s fast inference model from the GLM-4.7 family. Despite being designed for speed and efficiency, it shows exceptional strength on mathematical reasoning — exceeding expectations for a “flash” tier model.
Claude Opus 4.6 is Anthropic’s flagship model — their most capable tier, designed for complex reasoning, software engineering, and advanced agentic tasks. It is closed-source and accessed via Anthropic’s API.
benchmark breakdown
Claude Opus 4.6 wins on all four benchmarks. GPQA Diamond (91.3% vs 75.2%), SWE-bench Verified (80.8% vs 59.2%), TAU-bench (91.9% vs 79.5%), and Terminal Bench (65.4% vs 64.0%*) all favor Anthropic’s flagship. The largest gaps are on science (16 points) and software engineering (21.6 points).
what people are saying
when to use GLM-4.7 Flash
- you need fast, cost-efficient inference — Opus 4.6 is Anthropic’s most expensive model tier
- you’re building applications where lower latency matters more than peak benchmark performance
when to use Claude Opus 4.6
- software engineering is your primary use case (80.8% vs 59.2% on SWE-bench)
- agentic tool-calling with high reliability is required
- graduate-level scientific reasoning is important
- terminal and CLI automation is part of your workflow
- you need a 1M token context window and Anthropic’s enterprise support
closing the performance gap at the same cost
Claude Opus 4.6 leads across all four benchmarks tested here. For software engineering and knowledge-intensive tasks, Opus 4.6 has substantial advantages. For teams needing lower inference costs, GLM-4.7 Flash is the more practical option — and fine-tuning it on your domain can close some of the gap on specific tasks.
frequently asked questions
which model should i use for coding?
claude opus 4.6 — 80.8% vs 59.2% on swe-bench verified, a 21-point advantage.
which is better for terminal tasks?
claude opus 4.6 — 65.4% vs 64.0%*. note the asterisk on glm may indicate specific evaluation conditions.
is claude opus 4.6 worth the premium over claude sonnet 4.6?
for most tasks claude sonnet 4.6 delivers strong results at lower cost. opus 4.6 is the better choice when you need maximum performance on complex reasoning, agentic workflows, or high-stakes software engineering tasks.