Microsoft
FrogMini is built on the Qwen3-14B transformer architecture with a maximum context length of 64k tokens. The model uses multi-turn debugging workflows and complex code reasoning. Unlike general-purpose LLMs, FrogMini is specialized for software engineering tasks.
Running this yourself: can likely run on your own machine.
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41.4
Quality Score
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Arena ELO
425.0K
Parameters
131K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
17 of 22 public signals
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1.1K
Downloads
71
Likes
Jan 2026
Released
5/5 signals
3/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
425.0K
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
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Public pricing, no login required. Rates are in USD and billed by the provider, separately from AI Market Cap data plans. Confirm billing cycle, taxes, usage caps, and specific model availability before purchasing. A subscription does not automatically include API credits; context length, caching, and tools can change usage costs.
No pricing data available yet.