Pairwise benchmark snapshot · Aug 17, 2026
In this head-to-head showdown, GLM-5.3 delivers higher overall intelligence and human-preferred responses (Elo 1,558 vs 1,398), 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, while Qwen3.8 27B provides faster response streaming (152 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.
10 benchmarks evaluated across capability, speed, and cost
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).
Alibaba open-weight 27B drop dated Aug 14 2026. Dense enough to self-host; not a frontier MoE.
Currently comparing GLM-5.3 vs Qwen3.8 27B. Alternative family tiers available.
Δ 160 Arena Elo pts
152 tok/s
$1.8 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top standard models across 6 key capability 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 | GLM-5.3 | Qwen3.8 27B | Advantage Delta |
|---|---|---|---|
| Preference Elo | +160 | ||
| Coding Elo | +164 | ||
| LiveBench | +10.2% | ||
| SWE-bench | +17.6% | ||
| GPQA Diamond | +9.8% | ||
| Time to first token | +115 ms | ||
| Output speed | 90 tok/s | 152 tok/s | +62 tok/s |
| Input price | $0.45/1M | +$0.05/1M | |
| Output price | $3.2/1M | +$1.4/1M | |
| Context window | +62k |
Simulate monthly production API costs in USD (US Dollar).
GLM-5.3 is estimated to save $19.25/month ($231/year).
Higher SWE-bench (76.4%).
Lower output list price ($1.8/1M).
Lower TTFT (140 ms).
Larger window (262k).
GLM-5.3 is the side marked multimodal in the catalog.
| 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 | Qwen3.8 27B | Lower TTFT (140 ms). |
| Long-document RAG | Qwen3.8 27B | Larger window (262k). |
| Screenshots / vision | GLM-5.3 | GLM-5.3 is the side marked multimodal in the catalog. |
Alibaba open-weight 27B drop. Local/open-weight lists should see it. It will not win frontier-agents.
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.
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Verified Head-to-Head Telemetry
