Gemini 2.5 Pro vs Grok 3
For most developer and API use cases, Gemini 2.5 Pro is the practical pick: it delivers top tool calling (5/5) and creative problem solving (5/5) while costing less. Grok 3 wins on strategic analysis, agentic planning, and safety_calibration (5/5, 5/5, 2/5 respectively) — choose it when planning, refusal behavior, or strategic reasoning matter more than raw tool orchestration.
Gemini 2.5 Pro
Benchmark Scores
External Benchmarks
Pricing
Input
$1.25/MTok
Output
$10.00/MTok
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Grok 3
Benchmark Scores
External Benchmarks
Pricing
Input
$3.00/MTok
Output
$15.00/MTok
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Benchmark Analysis
We compared these two LLMs across our 12-test suite. Wins (do not count ties): Grok 3 wins strategic_analysis (5 vs 4), agentic_planning (5 vs 4), and safety_calibration (2 vs 1); Gemini 2.5 Pro wins tool_calling (5 vs 4) and creative_problem_solving (5 vs 3). They tie on structured_output (5/5), faithfulness (5/5), classification (4/4), long_context (5/5), persona_consistency (5/5), multilingual (5/5), and constrained_rewriting (3/3). Context and ranking matter: Gemini's tool_calling 5/5 is tied for 1st (
Pricing Analysis
Gemini 2.5 Pro input $1.25/mTok and output $10/mTok; Grok 3 input $3/mTok and output $15/mTok. If you bill 1M input + 1M output tokens monthly, Gemini costs $11.25 vs Grok $18. At 10M+10M tokens: Gemini $112.50 vs Grok $180. At 100M+100M: Gemini $1,125 vs Grok $1,800. Output cost dominates (Gemini $10 vs Grok $15 per mTok), so high-volume apps (>=10M output tokens/month) should prefer Gemini for lower unit cost; teams that prioritize Grok's strengths should budget ~60% higher token spend (Grok ≈ $1.60 per dollar of Gemini for equivalent token volumes).
Real-World Cost Comparison
How We Test
We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.