Side by side

See the difference.

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

Scroll to compare models →

Comparison of Google: Gemma 4 31B, Nemotron 3.5 Super VL
2 modelsgoogleGoogle: Gemma 4 31BRemove ×NVIDIANemotron 3.5 Super VLRemove ×
What’s differentGemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native…120B/12B-active Mamba-2 hybrid with a vision encoder; native speculative decoding and switchable thinking.
DateMar 11, 2026ListedOct 15, 2026Released
Listed rate$0.10 in / $0.34 out/ 1M tokensCoreWeave · via OpenRouter · all routes ↗coreweave/fp4 · quantization=fp4See provider quotes
Provider endpoints20 endpoints →0 endpoints →
AA Intelligence ↗4.3.2Not reported26.49 ↗Effort not specifiedIndependent result
AA-Briefcase ↗1.1Not reported998.76 ↗Effort not specifiedIndependent result
GDPval-AA ↗2.1Not reported1,162.41 ↗Effort not specifiedIndependent result
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reported14.82% ↗Effort not specifiedIndependent result
Terminal-Bench 4.0 · AA ↗Not reported0% ↗Effort not specifiedHarness unreportedIndependent result
SciCode ↗AA Index 4.3.2 collectionNot reported47.8% ↗AA · Under reviewEffort not specifiedIndependent result
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reported30.72% ↗Effort not specifiedIndependent result
GDP.pdf ↗AA Index 4.3.2 collectionNot reported8% ↗Effort not specifiedIndependent result
CritPt ↗AA Index 4.3.2 collectionNot reported10.57% ↗AA · Under reviewEffort not specifiedIndependent result
AA-Omniscience ↗AA Index 4.3.2 collectionNot reported-4.22 ↗Effort not specifiedIndependent result
AA-LCR ↗1.1Not reported69% ↗Effort not specifiedIndependent result
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)41.53% ↗Effort: max · single run · equal mean of 7 suitesIndependent result51.47% ↗Effort: max · single run · equal mean of 7 suitesIndependent result
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)58.4% ↗Effort: max · single runIndependent result60.7% ↗Effort: max · single runIndependent result
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)44.4% ↗Effort: max · single runIndependent result70.9% ↗Effort: max · single runIndependent result
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)4% ↗Effort: max · single runIndependent result4% ↗Effort: max · single runIndependent result
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)49% ↗Effort: max · single runIndependent result65.5% ↗Effort: max · single runIndependent result
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)13.3% ↗Effort: max · single runIndependent result15.8% ↗Effort: max · single runIndependent result
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)53.3% ↗Effort: max · single runIndependent result64.6% ↗Effort: max · single runIndependent result
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)68.3% ↗Effort: max · single runIndependent result78.8% ↗Effort: max · single runIndependent result
Context window262.1K1M
Max output16.4K—
Parameters31B120B
Tool callingSupportedNot reported
Structured outputSupportedNot reported
Image inputSupportedSupported
Video inputSupportedNot reported
ReasoningSupportedSupported
Open weightsSupportedSupported

Add another model

Search all models →