Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Google: Gemini 3.6 Flash (batch) vs Grok 4 benchmark

Name: Google: Gemini 3.6 Flash (batch) vs Grok 4 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Google: Gemini 3.6 Flash (batch) (Google) and Grok 4 (xAI) using the latest snapshots we have as of Aug 17, 2026. Google: Gemini 3.6 Flash (batch) wins on output price at $1.88/1M. Google: Gemini 3.6 Flash (batch) has the larger context window (1M 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

Google: Gemini 3.6 Flash (batch)

Auto-discovered from OpenRouter (google/gemini-3.6-flash:batch). Preview until a second source matches.

$1.875/1M out

xAI

Grok 4

Previous xAI flagship.

Elo 1,488$15/1M out

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Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Google: Gemini 3.6 Flash (batch) (3)vsGrok 4 (6)

Google: Gemini 3.6 Flash (batch): 3W (33%)Overall: Grok 4Grok 4: 6W (67%)

← Google: Gemini 3.6 Flash (batch)Grok 4 →

Grok 4 (4/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,488

Coding Elo

—vs—

SWE-bench

—vs58.6%

LiveBench

—vs64.1%

GPQA Diamond

—vs79%

Google: Gemini 3.6 Flash (batch): 0WGrok 4: 4W

Grok 4 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs98 tok/s

Time to first token

—vs230 ms

Google: Gemini 3.6 Flash (batch): 0WGrok 4: 2W

Google: Gemini 3.6 Flash (batch) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.88/1Mvs$15/1M

Input price

$0.38/1Mvs$3/1M

Context window

1Mvs256k

Google: Gemini 3.6 Flash (batch): 3WGrok 4: 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 4 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Google: Gemini 3.6 Flash (batch)

$13.13/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,488

LiveBench

High is better

—

LiveBenchHigh is better

64.1%

SWE-bench

High is better

—

SWE-benchHigh is better

58.6%

GPQA

High is better

—

GPQAHigh is better

79%

TTFT

Low is better

—

TTFTLow is better

230 ms

Speed

High is better

—

SpeedHigh is better

98 tok/s

In $

Low is better

+700%$0.38/1M

In $Low is better

$3/1M

Out $

Low is better

+700%$1.88/1M

Out $Low is better

$15/1M

Context

High is better

+310%1M

ContextHigh is better

256k

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 88% with Google: Gemini 3.6 Flash (batch)

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Google: Gemini 3.6 Flash (batch)$41.25 / mo

In: $13.13Out: $28.13

Grok 4$330.00 / mo

In: $105.00Out: $225.00

Estimated Cost Delta

Google: Gemini 3.6 Flash (batch) is estimated to save $288.75/month ($3,465/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Google: Gemini 3.6 Flash (batch):Pick Google: Gemini 3.6 Flash (batch) when you are optimizing output cost.
2
Google: Gemini 3.6 Flash (batch):Pick Google: Gemini 3.6 Flash (batch) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemini 3.6 Flash (batch)

Lower output list price ($1.88/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemini 3.6 Flash (batch)

Larger window (1M).

Screenshots / visionGrok 4

Grok 4 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Google: Gemini 3.6 Flash (batch)	Lower output list price ($1.88/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Google: Gemini 3.6 Flash (batch)	Larger window (1M).
Screenshots / vision	Grok 4	Grok 4 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchJul 10, 2025

Grok 4 remains the previous xAI flagship on this catalog

2025-07 row. 4.6 is the buy. We keep 4 so upgrade pairs and old inbound links resolve.

Community Sentiment

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LIVE

Google

Google: Gemini 3.6 Flash (batch)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$1.88/1M

xAI

Grok 4

Elo 1,488

LiveBench64.1%

SWE-bench58.6%

Speed98 tok/s

Output cost$15/1M

Frequently Asked Questions

Which is better overall, Google: Gemini 3.6 Flash (batch) or Grok 4?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Google: Gemini 3.6 Flash (batch) or Grok 4?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Google: Gemini 3.6 Flash (batch) output tokens are $1.88/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Google: Gemini 3.6 Flash (batch) or Grok 4?: We do not have TTFT for both models.
Which has the larger context window?: Google: Gemini 3.6 Flash (batch) accepts 1M tokens versus 256k.
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. Google: Gemini 3.6 Flash (batch) and Grok 4 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Google: Gemini 3.6 Flash (batch) matchups →|All Grok 4 matchups →

Grok 4 vs Grok 3 (previous grok)Grok 4 vs Grok 4.6 (next grok)Gemini 3 Pro vs Grok 4 Gemini 3 Flash vs Grok 4 Gemini 2.0 Flash Thinking vs Grok 4 Gemini 3.6 Pro vs Grok 4

Google: Gemini 3.6 Flash (batch) vs Grok 4 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Google: Gemini 3.6 Flash (batch) (3)vsGrok 4 (6)

Google: Gemini 3.6 Flash (batch): 3W (33%)Overall: Grok 4Grok 4: 6W (67%)

← Google: Gemini 3.6 Flash (batch)Grok 4 →

Grok 4 (4/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,488

Coding Elo

—vs—

SWE-bench

—vs58.6%

LiveBench

—vs64.1%

GPQA Diamond

—vs79%

Google: Gemini 3.6 Flash (batch): 0WGrok 4: 4W

Grok 4 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs98 tok/s

Time to first token

—vs230 ms

Google: Gemini 3.6 Flash (batch): 0WGrok 4: 2W

Google: Gemini 3.6 Flash (batch) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.88/1Mvs$15/1M

Input price

$0.38/1Mvs$3/1M

Context window

1Mvs256k

Google: Gemini 3.6 Flash (batch): 3WGrok 4: 0W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemini 3.6 Flash (batch)

Lower output list price ($1.88/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemini 3.6 Flash (batch)

Larger window (1M).

Screenshots / visionGrok 4

Grok 4 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Google: Gemini 3.6 Flash (batch)	Lower output list price ($1.88/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Google: Gemini 3.6 Flash (batch)	Larger window (1M).
Screenshots / vision	Grok 4	Grok 4 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Google: Gemini 3.6 Flash (batch) or Grok 4?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Google: Gemini 3.6 Flash (batch) or Grok 4?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Google: Gemini 3.6 Flash (batch) output tokens are $1.88/1M versus $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Google: Gemini 3.6 Flash (batch) or Grok 4?

We do not have TTFT for both models.

Which has the larger context window?

Google: Gemini 3.6 Flash (batch) accepts 1M tokens versus 256k.

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. Google: Gemini 3.6 Flash (batch) and Grok 4 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Google: Gemini 3.6 Flash (batch)

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Grok 4 remains the previous xAI flagship on this catalog

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Google: Gemini 3.6 Flash (batch)

Grok 4

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Google: Gemini 3.6 Flash (batch)

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Grok 4 remains the previous xAI flagship on this catalog

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Google: Gemini 3.6 Flash (batch)

Grok 4

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons