Side by side

See the difference.

Scores, capabilities and costs for the models you’re considering.

Scroll to compare models →

Comparison of Cohere: North Mini Code (free), Step-5-Preview
2 modelscohereCohere: North Mini Code (free)Remove ×stepfun-aiStep-5-PreviewRemove ×
What’s differentNorth Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...600B total and 27B active parameters; accepts images and video, with FP8 and BF16 weights for deployment.
DateJun 17, 2026ListedSep 18, 2026Released
Listed rate$0.00 in / $0.00 out/ 1M tokensCohere · via OpenRouter · all routes ↗cohere$1.00 in / $2.70 out/ 1M tokensDeepInfra · all routes ↗
Provider endpoints2 endpoints →6 endpoints →
AA Intelligence ↗4.3.2Not reported43.73 ↗Effort not specifiedIndependent result
AA-Briefcase ↗1.1Not reported1,424.32 ↗Effort not specifiedIndependent result
GDPval-AA ↗2.1Not reported1,586.63 ↗Effort not specifiedIndependent result
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reported50.96% ↗Effort not specifiedIndependent result
Terminal-Bench 4.0 · AA ↗Not reported33.33% ↗Effort not specifiedHarness unreportedIndependent result
SciCode ↗AA Index 4.3.2 collectionNot reported58.91% ↗AA · Under reviewEffort not specifiedIndependent result
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reported46.48% ↗Effort not specifiedIndependent result
GDP.pdf ↗AA Index 4.3.2 collectionNot reported14.8% ↗Effort not specifiedIndependent result
CritPt ↗AA Index 4.3.2 collectionNot reported20.86% ↗AA · Under reviewEffort not specifiedIndependent result
AA-Omniscience ↗AA Index 4.3.2 collectionNot reported16.38 ↗Effort not specifiedIndependent result
AA-LCR ↗1.1Not reported88.33% ↗Effort not specifiedIndependent result
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported62.01% ↗Effort: max · single run · equal mean of 7 suitesIndependent result
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported76.9% ↗Effort: max · single runIndependent result
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported72.8% ↗Effort: max · single runIndependent result
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported24% ↗Effort: max · single runIndependent result
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported85.6% ↗Effort: max · single runIndependent result
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported27.5% ↗Effort: max · single runIndependent result
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported63.5% ↗Effort: max · single runIndependent result
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported83.8% ↗Effort: max · single runIndependent result
Context window256K1M
Max output64K64K
Parameters——
Tool callingSupportedSupported
Structured outputNot reportedSupported
Image inputNot reportedSupported
Video inputNot reportedSupported
ReasoningSupportedSupported
Prompt cachingNot reportedSupported
Open weightsSupportedSupported

Add another model

Search all models →