BlogLLM Benchmark Scores as Published, Side by Side
Grok 4.7 vs GLM-5.3: Benchmark Scores Side by Side
Every test both Grok 4.7 by xAI and GLM-5.3 by Z.ai have a published number for: 12 tests in 5 areas. Each number is as printed, with the page it comes from and the setup it was run under; nothing is ranked or rescored, and two numbers under different setups are two results, not one comparison.
Models Grok 4.7, GLM-5.3Data version 2026103001, as of 2026-10-30
Model
What each developer prints on its own model page; a dash means it prints none.
Knowledge Work
| Test | Grok 4.7 | GLM-5.3 |
|---|---|---|
| Harvey's Legal Agent Benchmark | 8.3%Mistral AI, Mistral Large 4 (preview), checked 2026-10-15 | |
| GDPval-AA v2.1 | ||
| AA-Briefcase v1.1 |
Agentic Coding
| Test | Grok 4.7 | GLM-5.3 |
|---|---|---|
| DeepSWE v1.1 | 66.9%Z.ai, GLM-5.3 model card, checked 2026-10-15; printed on 6 more pagesEffort: max; Harness: mini-swe-agent; Context: 400000 | |
| Terminal-Bench 4.0 | 37.9%DeepSeek, DeepSeek-V4.1-Flash model card, checked 2026-10-15; printed on 4 more pages | |
| SWE-Marathon v1.1 (resolution rate) | 42.5%Z.ai, GLM-5.3 model card, checked 2026-10-15Effort: max; Harness: Claude Code 2.1.207; Context: 1000000 |
Science and Math
| Test | Grok 4.7 | GLM-5.3 |
|---|---|---|
| GPQA Diamond | 88.1%DeepSeek, DeepSeek-V4.1-Flash model card, checked 2026-10-15; printed on 2 more pages | |
| FrontierMath Tier 4 (v2) | ||
| FrontierMath Tier 1-3 (v2) |
Cybersecurity
| Test | Grok 4.7 | GLM-5.3 |
|---|---|---|
| CyberGym | 84.5%Z.ai, GLM-5.3 model card, checked 2026-10-15; printed on 2 more pagesEffort: max; Harness: Claude Code 2.1.207 | |
| CyberGym-E2E | 74%Mistral AI, Mistral Large 4 (preview), checked 2026-10-15 | 29%Mistral AI, Mistral Large 4 (preview), checked 2026-10-15 |
General Knowledge and Reasoning
| Test | Grok 4.7 | GLM-5.3 |
|---|---|---|
| SimpleQA Verified |
Price
API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked; a dash means the developer lists that price in another unit or not at all. Cost per task is measured by Vals AI.
| Price | Grok 4.7 | GLM-5.3 |
|---|---|---|
| Input | $2xAI, xAI API pricing, checked 2026-10-15Context: up to 200,000 tokens; Long context: $4 per 1M tokens above 200,000 tokens | $1.4Z.ai, Z.AI API pricing, checked 2026-10-15 |
| Cached input | $0.5xAI, xAI API pricing, checked 2026-10-15Context: up to 200,000 tokens; Long context: $1 per 1M tokens above 200,000 tokens | $0.26Z.ai, Z.AI API pricing, checked 2026-10-15 |
| Output | $6xAI, xAI API pricing, checked 2026-10-15Context: up to 200,000 tokens; Long context: $12 per 1M tokens above 200,000 tokens | $4.4Z.ai, Z.AI API pricing, checked 2026-10-15 |
| Input, fast | $4xAI, xAI API pricing, checked 2026-10-15Context: up to 200,000 tokens; Long context: $6 per 1M tokens above 200,000 tokens | - |
| Cached input, fast | $1xAI, xAI API pricing, checked 2026-10-15Context: up to 200,000 tokens; Long context: $1.5 per 1M tokens above 200,000 tokens | - |
| Output, fast | $12xAI, xAI API pricing, checked 2026-10-15Context: up to 200,000 tokens; Long context: $18 per 1M tokens above 200,000 tokens | - |
| Cost per taskVals AI, USD, lower is better |
Grok 4.7 has 35 more and GLM-5.3 has 61 more: tests only one of them has a number for, listed on its model page.
More side by side
Every number here is read from the same catalog file as the benchmark table, data version 2026103001. A pair has a page when both models are their developers' flagships and both have a number for at least 10 of the same tests. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.