Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
In this head-to-head showdown, Baidu: ERNIE 4.5 VL 424B A47B is more budget-friendly at $1.25/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
3 benchmarks evaluated across capability, speed, and cost
Auto-discovered from OpenRouter (baidu/ernie-4.5-vl-424b-a47b). Preview until a second source matches.
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).
Single model data
No latency data
$1.25 / 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 | Baidu: ERNIE 4.5 VL 424B A47B | GLM-5.3 | Advantage Delta |
|---|---|---|---|
| Preference Elo | — | — | |
| Coding Elo | — | — | |
| LiveBench | — | — | |
| SWE-bench | — | — | |
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | — | 90 tok/s | — |
| Input price | $0.42/1M | +$0.08/1M | |
| Output price | $1.25/1M | +$0.55/1M | |
| Context window | +77k |
Simulate monthly production API costs in USD (US Dollar).
Baidu: ERNIE 4.5 VL 424B A47B is estimated to save $11.05/month ($133/year).
Need SWE-bench on both sides.
Lower output list price ($1.25/1M).
Need TTFT on both sides.
Larger window (200k).
GLM-5.3 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 | Baidu: ERNIE 4.5 VL 424B A47B | Lower output list price ($1.25/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | GLM-5.3 | Larger window (200k). |
| Screenshots / vision | GLM-5.3 | GLM-5.3 is the side marked multimodal in the catalog. |
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
