Pairwise benchmark snapshot · Aug 16, 2026
In this head-to-head showdown, Claude Opus 4.6 delivers higher overall intelligence and human-preferred responses (Elo 1,574 vs 1,558), while GLM-5.3 leads in SWE-bench software engineering benchmarks (76.4%), 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.
9 direct benchmark disciplines evaluated across capability, speed, and cost
Follow-on Opus release. Slightly behind 4.5 on official SWE-bench bash-only in the last published sweep; stronger multi-step autonomous agent reasoning.
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).
Currently comparing Claude Opus 4.6 vs GLM-5.3. Alternative family tiers available.
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 16 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 4.6 | GLM-5.3 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +16 | ||
| Coding Elo | +16 | ||
| LiveBench | +1.2% | ||
| SWE-bench | +0.5% | ||
| GPQA Diamond | +1.6% | ||
| Time to first token | +105 ms | ||
| Output speed | 64 tok/s | 90 tok/s | +26 tok/s |
| Input price | +$14.5/1M | ||
| Output price | +$73.2/1M | ||
| Context window | — |
Simulate monthly production API costs in USD (US Dollar).
GLM-5.3 is estimated to save $1,605.50/month ($19,266/year).
Higher SWE-bench (76.4%).
Lower output list price ($1.8/1M).
Lower TTFT (255 ms).
Larger window (200k).
Both accept images. Defaulting to the higher-Elo side (Claude Opus 4.6).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | GLM-5.3 | Higher SWE-bench (76.4%). |
| 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 4.6 | Larger window (200k). |
| Screenshots / vision | Claude Opus 4.6 | Both accept images. Defaulting to the higher-Elo side (Claude Opus 4.6). |
Coding-plan live; open weights promised after a two-week safety review. Newest Zhipu row.
Strong Chinese/English coding. 5.3 is the new row; 5.2 stays so the delta is visible.
Slightly behind 4.5 on one official SWE-bench sweep; stronger long-horizon traces. We keep the row for old vs URLs.
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