Pairwise benchmark snapshot · Aug 16, 2026

Llama 3.3 70B vs OpenAI: o3 Mini benchmark

Name: Llama 3.3 70B vs OpenAI: o3 Mini AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Llama 3.3 70B (Meta) and OpenAI: o3 Mini (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, OpenAI: o3 Mini is ahead by 275 points (1,560 vs 1,285; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, OpenAI: o3 Mini resolves 78.5% versus 45.1% (seed-bootstrap (Aug 1, 2026)). Llama 3.3 70B streams faster (140 tok/s) while Llama 3.3 70B is the cheaper output token ($0.32/1M). OpenAI: o3 Mini has the larger context window (200k 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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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Llama 3.3 70B (4)vsOpenAI: o3 Mini (6)

Llama 3.3 70B: 4W (40%)Overall: OpenAI: o3 MiniOpenAI: o3 Mini: 6W (60%)

← Llama 3.3 70BOpenAI: o3 Mini →

OpenAI: o3 Mini (5/5)

Intelligence & Reasoning

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

Preference Elo

1,285vs1,560

Coding Elo

—vs1,585

SWE-bench

45.1%vs78.5%

LiveBench

49.8%vs72.4%

GPQA Diamond

65.7%vs87.2%

Llama 3.3 70B: 0WOpenAI: o3 Mini: 5W

Llama 3.3 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs92 tok/s

Time to first token

160 msvs290 ms

Llama 3.3 70B: 2WOpenAI: o3 Mini: 0W

Llama 3.3 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.32/1Mvs$4.4/1M

Input price

$0.1/1Mvs$1.1/1M

Context window

131kvs200k

Llama 3.3 70B: 2WOpenAI: o3 Mini: 1W

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 AdvantageOpenAI: o3 Mini 4/6

Preference Elo

OpenAI: o3 Mini

275 pts advantage

Throughput Speed

Llama 3.3 70B

48 tok/s faster

Price Efficiency

Llama 3.3 70B

$4.08/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,285

EloHigh is better

1,560+21%

Code Elo

High is better

—

Code EloHigh is better

1,585

LiveBench

High is better

49.8%

LiveBenchHigh is better

72.4%+45%

SWE-bench

High is better

45.1%

SWE-benchHigh is better

78.5%+74%

GPQA

High is better

65.7%

GPQAHigh is better

87.2%+33%

TTFT

Low is better

+81%160 ms

TTFTLow is better

290 ms

Speed

High is better

+52%140 tok/s

SpeedHigh is better

92 tok/s

In $

Low is better

+1000%$0.1/1M

In $Low is better

$1.1/1M

Out $

Low is better

+1275%$0.32/1M

Out $Low is better

$4.4/1M

Context

High is better

131k

ContextHigh is better

200k+53%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 92% 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)

Llama 3.3 70B$8.30 / mo

In: $3.50Out: $4.80

OpenAI: o3 Mini$104.50 / mo

In: $38.50Out: $66.00

Estimated Cost Delta

Llama 3.3 70B is estimated to save $96.20/month ($1,154/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
OpenAI: o3 Mini:Pick OpenAI: o3 Mini 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
Llama 3.3 70B:Pick Llama 3.3 70B when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsOpenAI: o3 Mini

Higher SWE-bench (78.5%).

High-volume chatLlama 3.3 70B

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

Voice / low-latency UILlama 3.3 70B

Lower TTFT (160 ms).

Long-document RAGOpenAI: o3 Mini

Larger window (200k).

Screenshots / visionOpenAI: o3 Mini

OpenAI: o3 Mini is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	OpenAI: o3 Mini	Higher SWE-bench (78.5%).
High-volume chat	Llama 3.3 70B	Lower output list price ($0.32/1M).
Voice / low-latency UI	Llama 3.3 70B	Lower TTFT (160 ms).
Long-document RAG	OpenAI: o3 Mini	Larger window (200k).
Screenshots / vision	OpenAI: o3 Mini	OpenAI: o3 Mini is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

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

Llama 3.3 70B

Elo 1,285

LiveBench49.8%

SWE-bench45.1%

Speed140 tok/s

Output cost$0.32/1M

OpenAI

OpenAI: o3 Mini

Elo 1,560

LiveBench72.4%

SWE-bench78.5%

Speed92 tok/s

Output cost$4.4/1M

Frequently Asked Questions

Which is better overall, Llama 3.3 70B or OpenAI: o3 Mini?: OpenAI: o3 Mini has the higher preference Elo in our latest snapshot (1,560). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Llama 3.3 70B or OpenAI: o3 Mini?: OpenAI: o3 Mini leads SWE-bench at 78.5% 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 $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.3 70B or OpenAI: o3 Mini?: Llama 3.3 70B has the lower time-to-first-token (160 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: OpenAI: o3 Mini accepts 200k 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. Llama 3.3 70B and OpenAI: o3 Mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Llama 3.3 70B matchups →|All OpenAI: o3 Mini matchups →

Llama 3.3 70B vs Llama 3.1 70B (previous llama)Llama 3.3 70B vs Llama 4 Maverick (next llama)OpenAI: o3 Mini vs OpenAI o1-mini (previous gpt-mini)OpenAI: o3 Mini vs GPT-5 mini (next gpt-mini)GPT-5 vs OpenAI: o3 Mini Llama 4 Maverick vs OpenAI: o3 Mini

Llama 3.3 70B vs OpenAI: o3 Mini benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Llama 3.3 70B (4)vsOpenAI: o3 Mini (6)

Llama 3.3 70B: 4W (40%)Overall: OpenAI: o3 MiniOpenAI: o3 Mini: 6W (60%)

← Llama 3.3 70BOpenAI: o3 Mini →

OpenAI: o3 Mini (5/5)

Intelligence & Reasoning

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

Preference Elo

1,285vs1,560

Coding Elo

—vs1,585

SWE-bench

45.1%vs78.5%

LiveBench

49.8%vs72.4%

GPQA Diamond

65.7%vs87.2%

Llama 3.3 70B: 0WOpenAI: o3 Mini: 5W

Llama 3.3 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs92 tok/s

Time to first token

160 msvs290 ms

Llama 3.3 70B: 2WOpenAI: o3 Mini: 0W

Llama 3.3 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.32/1Mvs$4.4/1M

Input price

$0.1/1Mvs$1.1/1M

Context window

131kvs200k

Llama 3.3 70B: 2WOpenAI: o3 Mini: 1W

Recommended Workload Routing

Repo / coding agentsOpenAI: o3 Mini

Higher SWE-bench (78.5%).

High-volume chatLlama 3.3 70B

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

Voice / low-latency UILlama 3.3 70B

Lower TTFT (160 ms).

Long-document RAGOpenAI: o3 Mini

Larger window (200k).

Screenshots / visionOpenAI: o3 Mini

OpenAI: o3 Mini is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	OpenAI: o3 Mini	Higher SWE-bench (78.5%).
High-volume chat	Llama 3.3 70B	Lower output list price ($0.32/1M).
Voice / low-latency UI	Llama 3.3 70B	Lower TTFT (160 ms).
Long-document RAG	OpenAI: o3 Mini	Larger window (200k).
Screenshots / vision	OpenAI: o3 Mini	OpenAI: o3 Mini is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Llama 3.3 70B or OpenAI: o3 Mini?

OpenAI: o3 Mini has the higher preference Elo in our latest snapshot (1,560). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Llama 3.3 70B or OpenAI: o3 Mini?

OpenAI: o3 Mini leads SWE-bench at 78.5% 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 $4.4/1M. Input prices and retry rates still move the real bill.

Which is faster, Llama 3.3 70B or OpenAI: o3 Mini?

Llama 3.3 70B has the lower time-to-first-token (160 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

OpenAI: o3 Mini accepts 200k 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. Llama 3.3 70B and OpenAI: o3 Mini 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

OpenAI: o3 Mini

Llama 3.3 70B

Llama 3.3 70B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

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

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Llama 3.3 70B

OpenAI: o3 Mini

Frequently Asked Questions

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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

OpenAI: o3 Mini

Llama 3.3 70B

Llama 3.3 70B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

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

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Llama 3.3 70B

OpenAI: o3 Mini

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons