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

Llama 3.1 70B vs Qwen: Qwen3.7 Max benchmark

Name: Llama 3.1 70B vs Qwen: Qwen3.7 Max AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Llama 3.1 70B is more budget-friendly at $0.4/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Llama 3.1 70B holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench

Llama 3.1 70BTop code solve rate

ReasoningGPQA / Live

Llama 3.1 70BTop logical accuracy

Best Value$/1M Tok

Llama 3.1 70BLowest API billing cost

Speed / TokTok/Sec

Llama 3.1 70BFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Llama 3.1 70B (2)Qwen: Qwen3.7 Max (1)

Llama 3.1 70B

2 of 3 Wins

✓Input price✓Output price

Qwen: Qwen3.7 Max

1 of 3 Wins

✓Context window

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderLlama 3.1 70B Wins

Llama 3.1 70B

$0.39999999999999997 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Llama 3.1 70B (8)vsQwen: Qwen3.7 Max (1)

Llama 3.1 70B: 8W (89%)Qwen: Qwen3.7 Max: 1W (11%)

← Llama 3.1 70BQwen: Qwen3.7 Max →

🏆Llama 3.1 70B Leads(4/5)

Intelligence & Reasoning

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

Benchmark

Llama 3.1 70BvsQwen: Qwen3.7 Max

Preference Elo

1,240vs—

Coding Elo

—vs—

SWE-bench

40.2%vs—

LiveBench

46.8%vs—

GPQA Diamond

48%vs—

Llama 3.1 70B: 4WQwen: Qwen3.7 Max: 0W

🏆Llama 3.1 70B Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Llama 3.1 70BvsQwen: Qwen3.7 Max

Output speed

125 tok/svs—

Time to first token

170 msvs—

Llama 3.1 70B: 2WQwen: Qwen3.7 Max: 0W

🏆Llama 3.1 70B Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Llama 3.1 70BvsQwen: Qwen3.7 Max

Output price

$0.4/1Mvs$4.425/1M+$4.025/1M

Input price

$0.4/1Mvs$1.475/1M+$1.075/1M

Context window

131kvs1M+869k

Llama 3.1 70B: 2WQwen: Qwen3.7 Max: 1W

Side-by-Side Benchmark Matrix

Llama 3.1 70BQwen: Qwen3.7 Max

Preference Elo

Llama 3.1 70B1,240

Qwen: Qwen3.7 Max—

LiveBench

Llama 3.1 70B46.8%

Qwen: Qwen3.7 Max—

SWE-bench

Llama 3.1 70B40.2%

Qwen: Qwen3.7 Max—

GPQA Diamond

Llama 3.1 70B48%

Qwen: Qwen3.7 Max—

Time to first token

Llama 3.1 70B170 ms

Qwen: Qwen3.7 Max—

Output speed

Llama 3.1 70B125 tok/s

Qwen: Qwen3.7 Max—

Input priceLlama 3.1 70B +$1.075/1M

Llama 3.1 70B$0.4/1M

Qwen: Qwen3.7 Max$1.475/1M

Output priceLlama 3.1 70B +$4.025/1M

Llama 3.1 70B$0.4/1M

Qwen: Qwen3.7 Max$4.425/1M

Context windowQwen: Qwen3.7 Max +869k

Llama 3.1 70B131k

Qwen: Qwen3.7 Max1M

Benchmark	Llama 3.1 70B	Qwen: Qwen3.7 Max	Advantage Delta
Preference Elo	1,240 lmarena · Aug 17, 2026	—	—
LiveBench	46.8% livebench · Aug 17, 2026	—	—
SWE-bench	40.2% swebench · Aug 17, 2026	—	—
GPQA Diamond	48% seed-bootstrap · Aug 1, 2026	—	—
Time to first token	170 ms seed-bootstrap · Aug 1, 2026	—	—
Output speed	125 tok/s seed-bootstrap · Aug 1, 2026	—	—
Input price	$0.4/1M openrouter · Aug 17, 2026	$1.475/1M openrouter · Aug 17, 2026	+$1.075/1M
Output price	$0.4/1M openrouter · Aug 17, 2026	$4.425/1M openrouter · Aug 17, 2026	+$4.025/1M
Context window	131k openrouter · Aug 17, 2026	1M openrouter · Aug 17, 2026	+869k

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 83% with Llama 3.1 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 3.1 70B$20.00 / mo

In: $14Out: $6

Qwen: Qwen3.7 Max$118.00 / mo

In: $51.63Out: $66.38

Estimated Cost Delta

Llama 3.1 70B is estimated to save $98.00/month ($1,176/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Llama 3.1 70B:Pick Llama 3.1 70B when you are optimizing output cost.
2
Qwen: Qwen3.7 Max:Pick Qwen: Qwen3.7 Max for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLlama 3.1 70B

Lower output list price ($0.4/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.7 Max

Larger window (1M).

Screenshots / visionQwen: Qwen3.7 Max

Qwen: Qwen3.7 Max 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	Llama 3.1 70B	Lower output list price ($0.4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3.7 Max	Larger window (1M).
Screenshots / vision	Qwen: Qwen3.7 Max	Qwen: Qwen3.7 Max is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Llama 3.1 70B

Elo 1,240

SWE-bench40.2%

Speed (tok/s)125 tok/s

Input / 1M Tokens$0.4/1M

Output / 1M Tokens$0.4/1M

Alibaba

Qwen: Qwen3.7 Max

Elo n/a

SWE-bench—

Speed (tok/s)1M

Input / 1M Tokens$1.475/1M

Output / 1M Tokens$4.425/1M

Frequently Asked Questions

Which is better overall, Llama 3.1 70B or Qwen: Qwen3.7 Max?: 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, Llama 3.1 70B or Qwen: Qwen3.7 Max?: 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?: Llama 3.1 70B output tokens are $0.4/1M versus $4.425/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.1 70B or Qwen: Qwen3.7 Max?: We do not have TTFT for both models.
Which has the larger context window?: Qwen: Qwen3.7 Max accepts 1M tokens versus 131k.
Can I self-host either model?: Llama 3.1 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 3.1 70B and Qwen: Qwen3.7 Max Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Llama 3.1 70B matchups →|All Qwen: Qwen3.7 Max matchups →

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

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Side-by-Side Benchmark Matrix

Llama 3.1 70BQwen: Qwen3.7 Max

Preference Elo

Llama 3.1 70B1,240

Qwen: Qwen3.7 Max—

LiveBench

Llama 3.1 70B46.8%

Qwen: Qwen3.7 Max—

SWE-bench

Llama 3.1 70B40.2%

Qwen: Qwen3.7 Max—

GPQA Diamond

Llama 3.1 70B48%

Qwen: Qwen3.7 Max—

Time to first token

Llama 3.1 70B170 ms

Qwen: Qwen3.7 Max—

Output speed

Llama 3.1 70B125 tok/s

Qwen: Qwen3.7 Max—

Input priceLlama 3.1 70B +$1.075/1M

Llama 3.1 70B$0.4/1M

Qwen: Qwen3.7 Max$1.475/1M

Output priceLlama 3.1 70B +$4.025/1M

Llama 3.1 70B$0.4/1M

Qwen: Qwen3.7 Max$4.425/1M

Context windowQwen: Qwen3.7 Max +869k

Llama 3.1 70B131k

Qwen: Qwen3.7 Max1M

Benchmark

Llama 3.1 70B

Qwen: Qwen3.7 Max

Advantage Delta

Preference Elo

1,240

lmarena · Aug 17, 2026

—

LiveBench

46.8%

livebench · Aug 17, 2026

—

SWE-bench

40.2%

swebench · Aug 17, 2026

—

GPQA Diamond

48%

seed-bootstrap · Aug 1, 2026

—

Time to first token

170 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

125 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$0.4/1M

openrouter · Aug 17, 2026

$1.475/1M

openrouter · Aug 17, 2026

+$1.075/1M

Output price

$0.4/1M

openrouter · Aug 17, 2026

$4.425/1M

openrouter · Aug 17, 2026

+$4.025/1M

Context window

131k

openrouter · Aug 17, 2026

+869k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLlama 3.1 70B

Lower output list price ($0.4/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.7 Max

Larger window (1M).

Screenshots / visionQwen: Qwen3.7 Max

Qwen: Qwen3.7 Max 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	Llama 3.1 70B	Lower output list price ($0.4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3.7 Max	Larger window (1M).
Screenshots / vision	Qwen: Qwen3.7 Max	Qwen: Qwen3.7 Max is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Llama 3.1 70B or Qwen: Qwen3.7 Max?

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, Llama 3.1 70B or Qwen: Qwen3.7 Max?

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?

Llama 3.1 70B output tokens are $0.4/1M versus $4.425/1M. Input prices and retry rates still move the real bill.

Which is faster, Llama 3.1 70B or Qwen: Qwen3.7 Max?

We do not have TTFT for both models.

Which has the larger context window?

Qwen: Qwen3.7 Max accepts 1M tokens versus 131k.

Can I self-host either model?

Llama 3.1 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 3.1 70B and Qwen: Qwen3.7 Max Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.