Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
In this head-to-head showdown, Z.ai: GLM 4.7 Flash is more budget-friendly at $0.4/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
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Previous OpenAI flagship. Still a common compare baseline on legacy pages.
Single model data
No latency data
$0.39999999999999997 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
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 | Z.ai: GLM 4.7 Flash | GPT-4o | Advantage Delta |
|---|---|---|---|
| Preference Elo | — | — | |
| LiveBench | — | — | |
| SWE-bench | — | — | |
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | — | 110 tok/s | — |
| Input price | $0.06/1M | $2.5/1M | Z.ai: GLM 4.7 Flash (+$2.44/1M) |
| Output price | $0.4/1M | Z.ai: GLM 4.7 Flash (+$9.6/1M) | |
| Context window | Z.ai: GLM 4.7 Flash (+75k) |
Simulate monthly production API costs in USD (US Dollar).
Z.ai: GLM 4.7 Flash is estimated to save $229.40/month ($2,753/year).
Need SWE-bench on both sides.
Lower output list price ($0.4/1M).
Need TTFT on both sides.
Larger window (203k).
GPT-4o is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | Z.ai: GLM 4.7 Flash | Lower output list price ($0.4/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | Z.ai: GLM 4.7 Flash | Larger window (203k). |
| Screenshots / vision | GPT-4o | GPT-4o is the side marked multimodal in the catalog. |
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Verified head-to-head card
