Pairwise benchmark snapshot · Aug 16, 2026

Gemini 3.6 Pro vs Llama 4 Scout benchmark

Name: Gemini 3.6 Pro vs Llama 4 Scout AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Gemini 3.6 Pro (Google) and Llama 4 Scout (Meta) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Gemini 3.6 Pro is ahead by 158 points (1,570 vs 1,412; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, Gemini 3.6 Pro resolves 74.6% versus 52.4% (seed-bootstrap (Aug 16, 2026)). Llama 4 Scout streams faster (155 tok/s) while Llama 4 Scout is the cheaper output token ($0.3/1M). Gemini 3.6 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 3.6 Pro

Current Google Pro-class multimodal model. Long context, strong coding, billed like the 3.x Pro tier.

Elo 1,570$5/1M out

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Model A

Model B

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.

Gemini 3.6 Pro (6)vsLlama 4 Scout (4)

Gemini 3.6 Pro: 6W (60%)Overall: Gemini 3.6 ProLlama 4 Scout: 4W (40%)

← Gemini 3.6 ProLlama 4 Scout →

Gemini 3.6 Pro (5/5)

Intelligence & Reasoning

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

Preference Elo

1,570vs1,412

Coding Elo

1,566vs1,398

SWE-bench

74.6%vs52.4%

LiveBench

71.8%vs59.6%

GPQA Diamond

84.4%vs71.2%

Gemini 3.6 Pro: 5WLlama 4 Scout: 0W

Llama 4 Scout (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

102 tok/svs155 tok/s

Time to first token

205 msvs130 ms

Gemini 3.6 Pro: 0WLlama 4 Scout: 2W

Llama 4 Scout (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$5/1Mvs$0.3/1M

Input price

$1.25/1Mvs$0.1/1M

Context window

2Mvs1.3M

Gemini 3.6 Pro: 1WLlama 4 Scout: 2W

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 AdvantageGemini 3.6 Pro 4/6

Preference Elo

Gemini 3.6 Pro

158 pts advantage

Throughput Speed

Llama 4 Scout

53 tok/s faster

Price Efficiency

Llama 4 Scout

$4.70/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+11%1,570

EloHigh is better

1,412

Code Elo

High is better

+12%1,566

Code EloHigh is better

1,398

LiveBench

High is better

+20%71.8%

LiveBenchHigh is better

59.6%

SWE-bench

High is better

+42%74.6%

SWE-benchHigh is better

52.4%

GPQA

High is better

+19%84.4%

GPQAHigh is better

71.2%

TTFT

Low is better

205 ms

TTFTLow is better

130 ms+58%

Speed

High is better

102 tok/s

SpeedHigh is better

155 tok/s+52%

In $

Low is better

$1.25/1M

In $Low is better

$0.1/1M+1150%

Out $

Low is better

$5/1M

Out $Low is better

$0.3/1M+1567%

Context

High is better

+53%2M

ContextHigh is better

1.3M

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 93% with Llama 4 Scout

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Gemini 3.6 Pro$118.75 / mo

In: $43.75Out: $75.00

Llama 4 Scout$8.00 / mo

In: $3.50Out: $4.50

Estimated Cost Delta

Llama 4 Scout is estimated to save $110.75/month ($1,329/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Gemini 3.6 Pro:Pick Gemini 3.6 Pro when repo-level coding accuracy is the constraint.
2
Llama 4 Scout:Pick Llama 4 Scout when you are optimizing output cost.
3
Llama 4 Scout:Pick Llama 4 Scout when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGemini 3.6 Pro

Higher SWE-bench (74.6%).

High-volume chatLlama 4 Scout

Lower output list price ($0.3/1M).

Voice / low-latency UILlama 4 Scout

Lower TTFT (130 ms).

Long-document RAGGemini 3.6 Pro

Larger window (2M).

Screenshots / visionGemini 3.6 Pro

Both accept images. Defaulting to the higher-Elo side (Gemini 3.6 Pro).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Gemini 3.6 Pro	Higher SWE-bench (74.6%).
High-volume chat	Llama 4 Scout	Lower output list price ($0.3/1M).
Voice / low-latency UI	Llama 4 Scout	Lower TTFT (130 ms).
Long-document RAG	Gemini 3.6 Pro	Larger window (2M).
Screenshots / vision	Gemini 3.6 Pro	Both accept images. Defaulting to the higher-Elo side (Gemini 3.6 Pro).

Related Editorial Dispatches & Benchmark Notes

View all news

compareAug 16, 2026

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

$1/$5 hosted Claude vs a cheap long-context open sibling. The alternative-to-Sonnet pair that is honest.

compareAug 13, 2026

Gemini Flash vs Pro: when Flash is the whole product

3.7 Flash vs 3.6 Pro is the current Google volume-versus-upgrade pair.

compareJul 24, 2026

Claude vs Gemini: coding, Elo, and output price — not a brand mashup

Top Anthropic vs top Google. Usually Opus 5 vs 3.6 Pro. Two different invoices.

compareJul 16, 2026

Gemini vs GPT: long context versus the OpenAI flagship invoice

Hub remaps to top Google vs top OpenAI Elo. Usually 3.6 Pro vs Sol. Window vs price is the plot.

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LIVE

Google

Gemini 3.6 Pro

Elo 1,570

LiveBench71.8%

SWE-bench74.6%

Speed102 tok/s

Output cost$5/1M

Llama 4 Scout

Elo 1,412

LiveBench59.6%

SWE-bench52.4%

Speed155 tok/s

Output cost$0.3/1M

Frequently Asked Questions

Which is better overall, Gemini 3.6 Pro or Llama 4 Scout?: Gemini 3.6 Pro has the higher preference Elo in our latest snapshot (1,570). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 3.6 Pro or Llama 4 Scout?: Gemini 3.6 Pro leads SWE-bench at 74.6% vs 52.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Llama 4 Scout output tokens are $0.3/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 3.6 Pro or Llama 4 Scout?: Llama 4 Scout has the lower time-to-first-token (130 ms vs 205 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Gemini 3.6 Pro accepts 2M tokens versus 1.3M.
Can I self-host either model?: Llama 4 Scout is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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 3.6 Pro and Llama 4 Scout Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Gemini 3.6 Pro matchups →|All Llama 4 Scout matchups →

Gemini 3.6 Pro vs Gemini 3 Pro (previous gemini-pro)Llama 4 Scout vs Llama 4 Maverick (previous llama)Gemini 3.7 Flash vs Gemini 3.6 Pro Gemini 3.6 Flash vs Gemini 3.6 Pro Gemini 3 Flash vs Gemini 3.6 Pro Gemini 2.0 Flash Thinking vs Llama 4 Scout

Gemini 3.6 Pro vs Llama 4 Scout benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Gemini 3.6 Pro (6)vsLlama 4 Scout (4)

Gemini 3.6 Pro: 6W (60%)Overall: Gemini 3.6 ProLlama 4 Scout: 4W (40%)

← Gemini 3.6 ProLlama 4 Scout →

Gemini 3.6 Pro (5/5)

Intelligence & Reasoning

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

Preference Elo

1,570vs1,412

Coding Elo

1,566vs1,398

SWE-bench

74.6%vs52.4%

LiveBench

71.8%vs59.6%

GPQA Diamond

84.4%vs71.2%

Gemini 3.6 Pro: 5WLlama 4 Scout: 0W

Llama 4 Scout (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

102 tok/svs155 tok/s

Time to first token

205 msvs130 ms

Gemini 3.6 Pro: 0WLlama 4 Scout: 2W

Llama 4 Scout (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$5/1Mvs$0.3/1M

Input price

$1.25/1Mvs$0.1/1M

Context window

2Mvs1.3M

Gemini 3.6 Pro: 1WLlama 4 Scout: 2W

Recommended Workload Routing

Repo / coding agentsGemini 3.6 Pro

Higher SWE-bench (74.6%).

High-volume chatLlama 4 Scout

Lower output list price ($0.3/1M).

Voice / low-latency UILlama 4 Scout

Lower TTFT (130 ms).

Long-document RAGGemini 3.6 Pro

Larger window (2M).

Screenshots / visionGemini 3.6 Pro

Both accept images. Defaulting to the higher-Elo side (Gemini 3.6 Pro).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Gemini 3.6 Pro	Higher SWE-bench (74.6%).
High-volume chat	Llama 4 Scout	Lower output list price ($0.3/1M).
Voice / low-latency UI	Llama 4 Scout	Lower TTFT (130 ms).
Long-document RAG	Gemini 3.6 Pro	Larger window (2M).
Screenshots / vision	Gemini 3.6 Pro	Both accept images. Defaulting to the higher-Elo side (Gemini 3.6 Pro).

Frequently Asked Questions

Which is better overall, Gemini 3.6 Pro or Llama 4 Scout?

Gemini 3.6 Pro has the higher preference Elo in our latest snapshot (1,570). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Gemini 3.6 Pro or Llama 4 Scout?

Gemini 3.6 Pro leads SWE-bench at 74.6% vs 52.4%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Llama 4 Scout output tokens are $0.3/1M versus $5/1M. Input prices and retry rates still move the real bill.

Which is faster, Gemini 3.6 Pro or Llama 4 Scout?

Llama 4 Scout has the lower time-to-first-token (130 ms vs 205 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Gemini 3.6 Pro accepts 2M tokens versus 1.3M.

Can I self-host either model?

Llama 4 Scout is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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 3.6 Pro and Llama 4 Scout 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

Gemini 3.6 Pro

Llama 4 Scout

Llama 4 Scout

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

Gemini Flash vs Pro: when Flash is the whole product

Claude vs Gemini: coding, Elo, and output price — not a brand mashup

Gemini vs GPT: long context versus the OpenAI flagship invoice

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Gemini 3.6 Pro

Llama 4 Scout

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

Gemini 3.6 Pro

Llama 4 Scout

Llama 4 Scout

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

Gemini Flash vs Pro: when Flash is the whole product

Claude vs Gemini: coding, Elo, and output price — not a brand mashup

Gemini vs GPT: long context versus the OpenAI flagship invoice

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Gemini 3.6 Pro

Llama 4 Scout

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons