CURATED MODEL COMPARISON

Gemini 3.5 Flash vs Grok 4.5

Compare two current cross-provider candidates before validating latency, cost, and quality on your workload. Compare exact official model IDs using published signals, provider links, and clearly separated family-level guidance.

Updated:

Published data side by side

Each value keeps its original source and scale. Missing data is not treated as zero, and OpenGPT does not create a composite winner.

Gemini 3.5 Flash vs Grok 4.5
Ranking angleGemini 3.5 FlashGrok 4.5
User preferenceRank 17Published value: 1476Source: LMArenaRank 33Published value: 1468Source: LMArena
Intelligence indexNo linked comparable dataRank 7Published value: 54Source: Artificial Analysis
Objective tasksNo linked comparable dataRank 9Published value: 76.3Source: LiveBench
Cost per successful taskRank 9Published value: $0.249Source: LiveBenchRank 1Published value: $0.128Source: LiveBench
Open-weight modelsNo linked comparable dataNo linked comparable data

This page organizes published third-party data. OpenGPT did not rerun the underlying evaluations.

What to validate

These strengths and limits describe the wider model family from official positioning, not measured results for this exact version.

Google

Gemini 3.5 Flash

gemini-3.5-flash

Family strengths

Native multimodal options across several input types. Integrates with Google's managed AI and developer ecosystem.

Family limitations

Closed weights for flagship hosted models. Features, context, and availability differ across versions and endpoints.

xAI

Grok 4.5

grok-4.5

Family strengths

Managed models include tool and real-time information paths. Provides general, reasoning, coding, and multimodal variants.

Family limitations

Closed weights and provider-controlled data/tool access. Observed quality depends on the exact model and enabled tools.

Continue with your decision

Use the interactive matrix to add more models, then validate the final two on your own prompts and constraints.