Pairwise benchmark snapshot · Aug 16, 2026
In this head-to-head showdown, Claude Opus 5 delivers higher overall intelligence and human-preferred responses (Elo 1,624 vs 1,558), while Claude Opus 5 leads in SWE-bench software engineering benchmarks (79.2%), while GLM-5.3 is more budget-friendly at $1.8/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
10 direct benchmark disciplines evaluated across capability, speed, and cost
Anthropic current default flagship. Official API $5/$25 per 1M tokens and a 1M context window (Anthropic, Jul 24 2026).
Z.ai Aug 14 2026 post-train of the GLM-5.2 744B base. Coding-plan live; open weights promised after a two-week safety review (z.ai/blog/glm-5.3).
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Δ 66 Arena Elo pts
90 tok/s
$1.8 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | Claude Opus 5 | GLM-5.3 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +66 | ||
| Coding Elo | +32 | ||
| LiveBench | +4% | ||
| SWE-bench | +2.8% | ||
| GPQA Diamond | +3.9% | ||
| Time to first token | +55 ms | ||
| Output speed | 72 tok/s | 90 tok/s | +18 tok/s |
| Input price | +$4.5/1M | ||
| Output price | +$23.2/1M | ||
| Context window | +800k |
Simulate monthly production API costs in USD (US Dollar).
GLM-5.3 is estimated to save $505.50/month ($6,066/year).
Higher SWE-bench (79.2%).
Lower output list price ($1.8/1M).
Lower TTFT (255 ms).
Larger window (1M).
Both accept images. Defaulting to the higher-Elo side (Claude Opus 5).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Claude Opus 5 | Higher SWE-bench (79.2%). |
| High-volume chat | GLM-5.3 | Lower output list price ($1.8/1M). |
| Voice / low-latency UI | GLM-5.3 | Lower TTFT (255 ms). |
| Long-document RAG | Claude Opus 5 | Larger window (1M). |
| Screenshots / vision | Claude Opus 5 | Both accept images. Defaulting to the higher-Elo side (Claude Opus 5). |
Coding-plan live; open weights promised after a two-week safety review. Newest Zhipu row.
Usually Sonnet 5 vs Opus 5. Coding delta versus output $/1M. The workhorse question.
Top Anthropic vs top Google. Usually Opus 5 vs 3.6 Pro. Two different invoices.
Not a frozen 2025 article. Today that is usually Opus 5 vs GPT-5.6 Sol. Dated cells, not a brand fight.
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Verified Head-to-Head Telemetry
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GLM-5.3 (Aug 14): Z.ai post-train of the 5.2 744B base
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