Pairwise benchmark snapshot · Aug 16, 2026

Gemini 3.6 Flash vs Llama 3.3 70B benchmark

Name: Gemini 3.6 Flash vs Llama 3.3 70B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Gemini 3.6 Flash (Google) and Llama 3.3 70B (Meta) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Gemini 3.6 Flash is ahead by 221 points (1,506 vs 1,285; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, Gemini 3.6 Flash resolves 70.8% versus 45.1% (seed-bootstrap (Aug 16, 2026)). Gemini 3.6 Flash streams faster (198 tok/s) while Llama 3.3 70B is the cheaper output token ($0.32/1M). Gemini 3.6 Flash 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

Gemini 3.6 Flash

Google Jul 21 workhorse. Now shares the 3.7 Flash introductory $0.75/$3.75 rate through Dec 31 2026.

Elo 1,506$3.75/1M out

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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Gemini 3.6 Flash (8)vsLlama 3.3 70B (2)

Gemini 3.6 Flash: 8W (80%)Overall: Gemini 3.6 FlashLlama 3.3 70B: 2W (20%)

← Gemini 3.6 FlashLlama 3.3 70B →

Gemini 3.6 Flash (5/5)

Intelligence & Reasoning

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

Preference Elo

1,506vs1,285

Coding Elo

1,514vs—

SWE-bench

70.8%vs45.1%

LiveBench

67.2%vs49.8%

GPQA Diamond

79.6%vs65.7%

Gemini 3.6 Flash: 5WLlama 3.3 70B: 0W

Gemini 3.6 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

198 tok/svs140 tok/s

Time to first token

92 msvs160 ms

Gemini 3.6 Flash: 2WLlama 3.3 70B: 0W

Llama 3.3 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$3.75/1Mvs$0.32/1M

Input price

$0.75/1Mvs$0.1/1M

Context window

1Mvs131k

Gemini 3.6 Flash: 1WLlama 3.3 70B: 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 Flash 5/6

Preference Elo

Gemini 3.6 Flash

221 pts advantage

Throughput Speed

Gemini 3.6 Flash

58 tok/s faster

Price Efficiency

Llama 3.3 70B

$3.43/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+17%1,506

EloHigh is better

1,285

Code Elo

High is better

1,514

Code EloHigh is better

—

LiveBench

High is better

+35%67.2%

LiveBenchHigh is better

49.8%

SWE-bench

High is better

+57%70.8%

SWE-benchHigh is better

45.1%

GPQA

High is better

+21%79.6%

GPQAHigh is better

65.7%

TTFT

Low is better

+74%92 ms

TTFTLow is better

160 ms

Speed

High is better

+41%198 tok/s

SpeedHigh is better

140 tok/s

In $

Low is better

$0.75/1M

In $Low is better

$0.1/1M+650%

Out $

Low is better

$3.75/1M

Out $Low is better

$0.32/1M+1072%

Context

High is better

+700%1M

ContextHigh is better

131k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 90% with Llama 3.3 70B

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 Flash$82.50 / mo

In: $26.25Out: $56.25

Llama 3.3 70B$8.30 / mo

In: $3.50Out: $4.80

Estimated Cost Delta

Llama 3.3 70B is estimated to save $74.20/month ($890/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Gemini 3.6 Flash:Pick Gemini 3.6 Flash when repo-level coding accuracy is the constraint.
2
Llama 3.3 70B:Pick Llama 3.3 70B when you are optimizing output cost.
3
Gemini 3.6 Flash:Pick Gemini 3.6 Flash when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGemini 3.6 Flash

Higher SWE-bench (70.8%).

High-volume chatLlama 3.3 70B

Lower output list price ($0.32/1M).

Voice / low-latency UIGemini 3.6 Flash

Lower TTFT (92 ms).

Long-document RAGGemini 3.6 Flash

Larger window (1M).

Screenshots / visionGemini 3.6 Flash

Gemini 3.6 Flash is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Gemini 3.6 Flash	Higher SWE-bench (70.8%).
High-volume chat	Llama 3.3 70B	Lower output list price ($0.32/1M).
Voice / low-latency UI	Gemini 3.6 Flash	Lower TTFT (92 ms).
Long-document RAG	Gemini 3.6 Flash	Larger window (1M).
Screenshots / vision	Gemini 3.6 Flash	Gemini 3.6 Flash is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

priceAug 13, 2026

Gemini 3.6 Flash (Jul 21) now shares the 3.7 intro rate

Jul 21 workhorse that inherited $0.75/$3.75 through year-end. Keep the row; 3.7 is the newer sibling.

launchDec 6, 2024

Llama 3.3 70B stays as the previous Meta 70B workhorse

Dec 2024 instruct 70B. Still a self-host baseline. Llama 4 is the 2026 buy.

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LIVE

Google

Gemini 3.6 Flash

Elo 1,506

LiveBench67.2%

SWE-bench70.8%

Speed198 tok/s

Output cost$3.75/1M

Llama 3.3 70B

Elo 1,285

LiveBench49.8%

SWE-bench45.1%

Speed140 tok/s

Output cost$0.32/1M

Frequently Asked Questions

Which is better overall, Gemini 3.6 Flash or Llama 3.3 70B?: Gemini 3.6 Flash has the higher preference Elo in our latest snapshot (1,506). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 3.6 Flash or Llama 3.3 70B?: Gemini 3.6 Flash leads SWE-bench at 70.8% vs 45.1%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Llama 3.3 70B output tokens are $0.32/1M versus $3.75/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 3.6 Flash or Llama 3.3 70B?: Gemini 3.6 Flash has the lower time-to-first-token (92 ms vs 160 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Gemini 3.6 Flash accepts 1M tokens versus 131k.
Can I self-host either model?: Llama 3.3 70B 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 Flash and Llama 3.3 70B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Gemini 3.6 Flash matchups →|All Llama 3.3 70B matchups →

Gemini 3.6 Flash vs Gemini 3 Flash (previous gemini-flash)Gemini 3.6 Flash vs Gemini 3.7 Flash (next gemini-flash)Llama 3.3 70B vs Llama 3.1 70B (previous llama)Llama 3.3 70B vs Llama 4 Maverick (next llama)Gemini 2.0 Flash Thinking vs Gemini 3.6 Flash Llama 4 Maverick vs Gemini 3.6 Flash

Gemini 3.6 Flash vs Llama 3.3 70B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Gemini 3.6 Flash (8)vsLlama 3.3 70B (2)

Gemini 3.6 Flash: 8W (80%)Overall: Gemini 3.6 FlashLlama 3.3 70B: 2W (20%)

← Gemini 3.6 FlashLlama 3.3 70B →

Gemini 3.6 Flash (5/5)

Intelligence & Reasoning

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

Preference Elo

1,506vs1,285

Coding Elo

1,514vs—

SWE-bench

70.8%vs45.1%

LiveBench

67.2%vs49.8%

GPQA Diamond

79.6%vs65.7%

Gemini 3.6 Flash: 5WLlama 3.3 70B: 0W

Gemini 3.6 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

198 tok/svs140 tok/s

Time to first token

92 msvs160 ms

Gemini 3.6 Flash: 2WLlama 3.3 70B: 0W

Llama 3.3 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$3.75/1Mvs$0.32/1M

Input price

$0.75/1Mvs$0.1/1M

Context window

1Mvs131k

Gemini 3.6 Flash: 1WLlama 3.3 70B: 2W

Recommended Workload Routing

Repo / coding agentsGemini 3.6 Flash

Higher SWE-bench (70.8%).

High-volume chatLlama 3.3 70B

Lower output list price ($0.32/1M).

Voice / low-latency UIGemini 3.6 Flash

Lower TTFT (92 ms).

Long-document RAGGemini 3.6 Flash

Larger window (1M).

Screenshots / visionGemini 3.6 Flash

Gemini 3.6 Flash is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Gemini 3.6 Flash	Higher SWE-bench (70.8%).
High-volume chat	Llama 3.3 70B	Lower output list price ($0.32/1M).
Voice / low-latency UI	Gemini 3.6 Flash	Lower TTFT (92 ms).
Long-document RAG	Gemini 3.6 Flash	Larger window (1M).
Screenshots / vision	Gemini 3.6 Flash	Gemini 3.6 Flash is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Gemini 3.6 Flash or Llama 3.3 70B?

Gemini 3.6 Flash has the higher preference Elo in our latest snapshot (1,506). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Gemini 3.6 Flash or Llama 3.3 70B?

Gemini 3.6 Flash leads SWE-bench at 70.8% vs 45.1%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Llama 3.3 70B output tokens are $0.32/1M versus $3.75/1M. Input prices and retry rates still move the real bill.

Which is faster, Gemini 3.6 Flash or Llama 3.3 70B?

Gemini 3.6 Flash has the lower time-to-first-token (92 ms vs 160 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Gemini 3.6 Flash accepts 1M tokens versus 131k.

Can I self-host either model?

Llama 3.3 70B 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 Flash and Llama 3.3 70B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

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Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Gemini 3.6 Flash

Gemini 3.6 Flash

Llama 3.3 70B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Gemini 3.6 Flash (Jul 21) now shares the 3.7 intro rate

Llama 3.3 70B stays as the previous Meta 70B workhorse

Cast Your Matchup Vote

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CompareLLM Matrix

Gemini 3.6 Flash

Llama 3.3 70B

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 Flash

Gemini 3.6 Flash

Llama 3.3 70B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Gemini 3.6 Flash (Jul 21) now shares the 3.7 intro rate

Llama 3.3 70B stays as the previous Meta 70B workhorse

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Gemini 3.6 Flash

Llama 3.3 70B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons