Qwen3-Coder-30B-A3B-Instruct
Speed analysis
Latency measured across all benchmark runs. P50 (median) and P95 (95th percentile) give a realistic picture of response speed under normal and peak load.
Quality scores
Evaluation results from judge-model scoring across diverse task categories. Scores reflect coherence, accuracy and instruction-following.
Pricing history
Direct provider rates per million tokens, plus a typical-conversation cost estimate.
Pricing over time
Input & output per 1M tokens · step-line = price changes
$0.0700
input / 1M
— stable
$0.2600
output / 1M
— stable
Tokens per second
Throughput in tokens per second, derived from measured P50 latency. Higher is better; fluctuations track provider-side load.
Estimated from P50 latency × 200 output tokens — the absolute number depends on this assumption; the trend is what matters.
Capabilities
Availability
Availability
No measurements yet
We haven't recorded enough API calls to show availability stats for this model. Data appears once the model starts receiving live traffic.
Tokonomix benchmark verdicts
Quality jumps 6.7 points to 97.6 with 86% latency improvement
Qwen3-Coder-30B-A3B-Instruct demonstrates significant improvements across both performance and quality metrics in this benchmark window. The overall quality score increased from 90.8 to 97.6, marking a 6.7-point gain that places the model in excellent territory. Latency saw dramatic optimization, with the p50 dropping from 30,286ms to 4,333ms, representing an 86% improvement that makes the service far more practical for real-time applications. Category performance shows continued strength in multilingual capabilities with a score of 99, up from 97. Reasoning performance reached a perfect 100, while coding maintained strong results at 94, up slightly from 92. The creative writing category was not evaluated in the current window, so trends there cannot be assessed. This represents a complete reversal from the previous period's quality decline, suggesting infrastructure or model optimizations have taken effect. Both test windows evaluated five runs, maintaining consistent testing methodology. Users can expect substantially faster responses without sacrificing output quality, making this an ideal moment to evaluate the service for latency-sensitive applications.
Quality
97.6
Latency p50
4,333 ms
Test runs
5
Qwen3-Coder-30B-A3B-Instruct
by OVH AI Endpoints (GRA)
- Context window
- — tokens
- Input price
- $0.0700 / 1M
- Output price
- $0.2600 / 1M
- Tier
- —
- Modality
- Text
- API type
- REST · streaming
- Benchmark runs
- 263
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