Gemma 4 31B (Reasoning)
AI model by Google. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. Gemma 4 31B (Reasoning) is a budget-tier option from Google at $0.00/M output tokens. Despite the low price, it scores competitively on Coding Index (43.4) and Intelligence Index (29.7) — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, Gemma 4 31B (Reasoning) reports 36 tok/s output speed and 1110ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.
Cost model. For a workload of 1M input tokens + 100K output tokens, Gemma 4 31B (Reasoning) costs $0.00 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
Gemma 4 31B (Reasoning)Current | $0.00 | $0.00 | 36 tok/s |
| GLM-4.5V (Non-reasoning) | $0.60 | $1.80 | 92 tok/s |
| MiMo-V2.5-Pro | $0.43 | $0.87 | 59 tok/s |
| JT-35B-Flash | — | — | — |
| Mercury 2 | $0.25 | $0.75 | 835 tok/s |
| Qwen3.5 Omni Plus | $0.40 | $4.80 | 49 tok/s |