Pairwise benchmark snapshot · Aug 17, 2026

Gemini 1.5 Pro vs Grok 3 benchmark

Name: Gemini 1.5 Pro vs Grok 3 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Gemini 1.5 Pro (Google) and Grok 3 (xAI) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Grok 3 is ahead by 145 points (1,405 vs 1,260; lmarena (Aug 17, 2026)). On SWE-bench coding, Grok 3 resolves 51.4% versus 38% (swebench (Aug 17, 2026)). Grok 3 streams faster (88 tok/s) while Gemini 1.5 Pro is the cheaper output token ($5/1M). Gemini 1.5 Pro has the larger context window (2M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Google

Gemini 1.5 Pro

First million-token Gemini Pro. Baseline for 1.5 vs 2.5 vs 3.x Pro.

Elo 1,260$5/1M out

xAI

Grok 3

Previous xAI generation before Grok 4. Kept for grok 3 vs grok 4.

Elo 1,405$15/1M out

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Model A

Model B

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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Gemini 1.5 Pro (4)vsGrok 3 (5)

Gemini 1.5 Pro: 4W (44%)Overall: Grok 3Grok 3: 5W (56%)

← Gemini 1.5 ProGrok 3 →

Grok 3 (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,260vs1,405

Coding Elo

—vs—

SWE-bench

38%vs51.4%

LiveBench

49.2%vs60.2%

GPQA Diamond

58%vs74.2%

Gemini 1.5 Pro: 0WGrok 3: 4W

Tied (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

70 tok/svs88 tok/s

Time to first token

240 msvs250 ms

Gemini 1.5 Pro: 1WGrok 3: 1W

Gemini 1.5 Pro (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$5/1Mvs$15/1M

Input price

$1.25/1Mvs$3/1M

Context window

2Mvs131k

Gemini 1.5 Pro: 3WGrok 3: 0W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageGrok 3 4/6

Preference Elo

Grok 3

145 pts advantage

Throughput Speed

Grok 3

18 tok/s faster

Token Price Efficiency

Gemini 1.5 Pro

$10.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,260

EloHigh is better

1,405+12%

LiveBench

High is better

49.2%

LiveBenchHigh is better

60.2%+22%

SWE-bench

High is better

38%

SWE-benchHigh is better

51.4%+35%

GPQA

High is better

58%

GPQAHigh is better

74.2%+28%

TTFT

Low is better

+4%240 ms

TTFTLow is better

250 ms

Speed

High is better

70 tok/s

SpeedHigh is better

88 tok/s+26%

In $

Low is better

+140%$1.25 / 1M

In $Low is better

$3.00 / 1M

Out $

Low is better

+200%$5.00 / 1M

Out $Low is better

$15.00 / 1M

Context

High is better

+1426%2M

ContextHigh is better

131k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 64% with Gemini 1.5 Pro

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Gemini 1.5 Pro$118.75 / mo

In: $43.75Out: $75

Grok 3$330.00 / mo

In: $105Out: $225

Estimated Cost Delta

Gemini 1.5 Pro is estimated to save $211.25/month ($2,535/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Grok 3:Pick Grok 3 when repo-level coding accuracy is the constraint.
2
Gemini 1.5 Pro:Pick Gemini 1.5 Pro when you are optimizing output cost.
3
Gemini 1.5 Pro:Pick Gemini 1.5 Pro when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGrok 3

Higher SWE-bench (51.4%).

High-volume chatGemini 1.5 Pro

Lower output list price ($5/1M).

Voice / low-latency UIGemini 1.5 Pro

Lower TTFT (240 ms).

Long-document RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionGrok 3

Both accept images. Defaulting to the higher-Elo side (Grok 3).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Grok 3	Higher SWE-bench (51.4%).
High-volume chat	Gemini 1.5 Pro	Lower output list price ($5/1M).
Voice / low-latency UI	Gemini 1.5 Pro	Lower TTFT (240 ms).
Long-document RAG	Gemini 1.5 Pro	Larger window (2M).
Screenshots / vision	Grok 3	Both accept images. Defaulting to the higher-Elo side (Grok 3).

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LIVE

Google

Gemini 1.5 Pro

Elo 1,260

LiveBench49.2%

SWE-bench38%

Speed70 tok/s

Output cost$5/1M

xAI

Grok 3

Elo 1,405

LiveBench60.2%

SWE-bench51.4%

Speed88 tok/s

Output cost$15/1M

Frequently Asked Questions

Which is better overall, Gemini 1.5 Pro or Grok 3?: Grok 3 has the higher preference Elo in our latest snapshot (1,405). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 1.5 Pro or Grok 3?: Grok 3 leads SWE-bench at 51.4% vs 38%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Gemini 1.5 Pro output tokens are $5/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 1.5 Pro or Grok 3?: Gemini 1.5 Pro has the lower time-to-first-token (240 ms vs 250 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Gemini 1.5 Pro accepts 2M tokens versus 131k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Gemini 1.5 Pro and Grok 3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Gemini 1.5 Pro matchups →|All Grok 3 matchups →

Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)Grok 3 vs Grok 4 (next grok)Gemini 3 Pro vs Grok 3 Gemini 3 Flash vs Grok 3 Grok 4.6 vs Grok 3 Gemini 2.0 Flash Thinking vs Grok 3

Gemini 1.5 Pro vs Grok 3 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Gemini 1.5 Pro (4)vsGrok 3 (5)

Gemini 1.5 Pro: 4W (44%)Overall: Grok 3Grok 3: 5W (56%)

← Gemini 1.5 ProGrok 3 →

Grok 3 (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,260vs1,405

Coding Elo

—vs—

SWE-bench

38%vs51.4%

LiveBench

49.2%vs60.2%

GPQA Diamond

58%vs74.2%

Gemini 1.5 Pro: 0WGrok 3: 4W

Tied (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

70 tok/svs88 tok/s

Time to first token

240 msvs250 ms

Gemini 1.5 Pro: 1WGrok 3: 1W

Gemini 1.5 Pro (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$5/1Mvs$15/1M

Input price

$1.25/1Mvs$3/1M

Context window

2Mvs131k

Gemini 1.5 Pro: 3WGrok 3: 0W

Recommended Workload Routing

Repo / coding agentsGrok 3

Higher SWE-bench (51.4%).

High-volume chatGemini 1.5 Pro

Lower output list price ($5/1M).

Voice / low-latency UIGemini 1.5 Pro

Lower TTFT (240 ms).

Long-document RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionGrok 3

Both accept images. Defaulting to the higher-Elo side (Grok 3).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Grok 3	Higher SWE-bench (51.4%).
High-volume chat	Gemini 1.5 Pro	Lower output list price ($5/1M).
Voice / low-latency UI	Gemini 1.5 Pro	Lower TTFT (240 ms).
Long-document RAG	Gemini 1.5 Pro	Larger window (2M).
Screenshots / vision	Grok 3	Both accept images. Defaulting to the higher-Elo side (Grok 3).

Frequently Asked Questions

Which is better overall, Gemini 1.5 Pro or Grok 3?

Grok 3 has the higher preference Elo in our latest snapshot (1,405). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Gemini 1.5 Pro or Grok 3?

Grok 3 leads SWE-bench at 51.4% vs 38%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Gemini 1.5 Pro output tokens are $5/1M versus $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Gemini 1.5 Pro or Grok 3?

Gemini 1.5 Pro has the lower time-to-first-token (240 ms vs 250 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Gemini 1.5 Pro accepts 2M tokens versus 131k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Gemini 1.5 Pro and Grok 3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.