Pairwise benchmark snapshot · Aug 16, 2026

Llama 3.3 70B vs Qwen 3 Max benchmark

Name: Llama 3.3 70B vs Qwen 3 Max AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Llama 3.3 70B (Meta) and Qwen 3 Max (Alibaba) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Qwen 3 Max is ahead by 233 points (1,518 vs 1,285; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Qwen 3 Max resolves 67.8% 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). Qwen 3 Max has the larger context window (262k 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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Model B

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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)vsQwen 3 Max (6)

Llama 3.3 70B: 4W (40%)Overall: Qwen 3 MaxQwen 3 Max: 6W (60%)

← Llama 3.3 70BQwen 3 Max →

Qwen 3 Max (5/5)

Intelligence & Reasoning

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

Preference Elo

1,285vs1,518

Coding Elo

—vs1,526

SWE-bench

45.1%vs67.8%

LiveBench

49.8%vs69.4%

GPQA Diamond

65.7%vs83.1%

Llama 3.3 70B: 0WQwen 3 Max: 5W

Llama 3.3 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs80 tok/s

Time to first token

160 msvs280 ms

Llama 3.3 70B: 2WQwen 3 Max: 0W

Llama 3.3 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.32/1Mvs$3.9/1M

Input price

$0.1/1Mvs$0.78/1M

Context window

131kvs262k

Llama 3.3 70B: 2WQwen 3 Max: 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 AdvantageQwen 3 Max 4/6

Preference Elo

Qwen 3 Max

233 pts advantage

Throughput Speed

Llama 3.3 70B

60 tok/s faster

Price Efficiency

Llama 3.3 70B

$3.58/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,285

EloHigh is better

1,518+18%

Code Elo

High is better

—

Code EloHigh is better

1,526

LiveBench

High is better

49.8%

LiveBenchHigh is better

69.4%+39%

SWE-bench

High is better

45.1%

SWE-benchHigh is better

67.8%+50%

GPQA

High is better

65.7%

GPQAHigh is better

83.1%+26%

TTFT

Low is better

+75%160 ms

TTFTLow is better

280 ms

Speed

High is better

+75%140 tok/s

SpeedHigh is better

80 tok/s

In $

Low is better

+680%$0.1/1M

In $Low is better

$0.78/1M

Out $

Low is better

+1119%$0.32/1M

Out $Low is better

$3.9/1M

Context

High is better

131k

ContextHigh is better

262k+100%

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)

Llama 3.3 70B$8.30 / mo

In: $3.50Out: $4.80

Qwen 3 Max$85.80 / mo

In: $27.30Out: $58.50

Estimated Cost Delta

Llama 3.3 70B is estimated to save $77.50/month ($930/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen 3 Max:Pick Qwen 3 Max 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 agentsQwen 3 Max

Higher SWE-bench (67.8%).

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 RAGQwen 3 Max

Larger window (262k).

Screenshots / visionQwen 3 Max

Qwen 3 Max is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Qwen 3 Max	Higher SWE-bench (67.8%).
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	Qwen 3 Max	Larger window (262k).
Screenshots / vision	Qwen 3 Max	Qwen 3 Max is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchApr 18, 2026

Qwen 3 Max: Alibaba’s flagship for math and multilingual code

Closed flagship. Strong math. Compare to Sol and Opus on GPQA and SWE-bench, not on brand heat.

launchSep 20, 2025

Qwen3 235B: the open MoE Qwen, not the Max SKU

Sep 2025 open-weight mixture-of-experts. Self-host path. Don’t confuse it with Qwen 3 Max.

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

Alibaba

Qwen 3 Max

Elo 1,518

LiveBench69.4%

SWE-bench67.8%

Speed80 tok/s

Output cost$3.9/1M

Frequently Asked Questions

Which is better overall, Llama 3.3 70B or Qwen 3 Max?: Qwen 3 Max has the higher preference Elo in our latest snapshot (1,518). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Llama 3.3 70B or Qwen 3 Max?: Qwen 3 Max leads SWE-bench at 67.8% 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 $3.9/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.3 70B or Qwen 3 Max?: Llama 3.3 70B has the lower time-to-first-token (160 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Qwen 3 Max accepts 262k 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 Qwen 3 Max 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 Qwen 3 Max matchups →

Llama 3.3 70B vs Llama 3.1 70B (previous llama)Llama 3.3 70B vs Llama 4 Maverick (next llama)Qwen 3 Max vs Qwen QwQ 32B (previous qwen)Qwen 3 Max vs Qwen3.8 27B (next qwen)Llama 4 Maverick vs Qwen 3 Max Llama 3.1 405B vs Llama 3.3 70B

Llama 3.3 70B vs Qwen 3 Max benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Llama 3.3 70B (4)vsQwen 3 Max (6)

Llama 3.3 70B: 4W (40%)Overall: Qwen 3 MaxQwen 3 Max: 6W (60%)

← Llama 3.3 70BQwen 3 Max →

Qwen 3 Max (5/5)

Intelligence & Reasoning

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

Preference Elo

1,285vs1,518

Coding Elo

—vs1,526

SWE-bench

45.1%vs67.8%

LiveBench

49.8%vs69.4%

GPQA Diamond

65.7%vs83.1%

Llama 3.3 70B: 0WQwen 3 Max: 5W

Llama 3.3 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs80 tok/s

Time to first token

160 msvs280 ms

Llama 3.3 70B: 2WQwen 3 Max: 0W

Llama 3.3 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.32/1Mvs$3.9/1M

Input price

$0.1/1Mvs$0.78/1M

Context window

131kvs262k

Llama 3.3 70B: 2WQwen 3 Max: 1W

Recommended Workload Routing

Repo / coding agentsQwen 3 Max

Higher SWE-bench (67.8%).

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 RAGQwen 3 Max

Larger window (262k).

Screenshots / visionQwen 3 Max

Qwen 3 Max is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Qwen 3 Max	Higher SWE-bench (67.8%).
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	Qwen 3 Max	Larger window (262k).
Screenshots / vision	Qwen 3 Max	Qwen 3 Max is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Llama 3.3 70B or Qwen 3 Max?

Qwen 3 Max has the higher preference Elo in our latest snapshot (1,518). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Llama 3.3 70B or Qwen 3 Max?

Qwen 3 Max leads SWE-bench at 67.8% 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 $3.9/1M. Input prices and retry rates still move the real bill.

Which is faster, Llama 3.3 70B or Qwen 3 Max?

Llama 3.3 70B has the lower time-to-first-token (160 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Qwen 3 Max accepts 262k 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 Qwen 3 Max 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

Qwen 3 Max

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

Qwen 3 Max: Alibaba’s flagship for math and multilingual code

Qwen3 235B: the open MoE Qwen, not the Max SKU

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

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CompareLLM Matrix

Llama 3.3 70B

Qwen 3 Max

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

Qwen 3 Max

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

Qwen 3 Max: Alibaba’s flagship for math and multilingual code

Qwen3 235B: the open MoE Qwen, not the Max SKU

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

Qwen 3 Max

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons