Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
In this head-to-head showdown, AllenAI: Olmo 3 32B Think is more budget-friendly at $0.5/1M 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
Zhipu flagship. Strong Chinese/English coding and agents.
Auto-discovered from OpenRouter (allenai/olmo-3-32b-think). Preview until a second source matches.
Currently comparing GLM-5.2 vs AllenAI: Olmo 3 32B Think. Alternative family tiers available.
Single model data
No latency data
$0.5 / 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-5.2 | AllenAI: Olmo 3 32B Think | Advantage Delta |
|---|---|---|---|
| Preference Elo | — | — | |
| Coding Elo | — | — | |
| LiveBench | — | — | |
| SWE-bench | — | — | |
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | 84 tok/s | — | — |
| Input price | $1.19/1M | $0.15/1M | +$1.04/1M |
| Output price | $3.74/1M | $0.5/1M | +$3.24/1M |
| Context window | +983k |
Simulate monthly production API costs in USD (US Dollar).
AllenAI: Olmo 3 32B Think is estimated to save $85.00/month ($1,020/year).
Need SWE-bench on both sides.
Lower output list price ($0.5/1M).
Need TTFT on both sides.
Larger window (1M).
GLM-5.2 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 | AllenAI: Olmo 3 32B Think | Lower output list price ($0.5/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | GLM-5.2 | Larger window (1M). |
| Screenshots / vision | GLM-5.2 | GLM-5.2 is the side marked multimodal in the catalog. |
GLM-5.2 undercuts GLM 5V Turbo by 74.2% on input at $0.31/1M, with 1,492 Elo and 69.3% SWE-bench in dated 2026 snapshots.
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
