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

Llama 3.1 405B vs Qwen: Qwen3.7 Plus benchmark

Name: Llama 3.1 405B vs Qwen: Qwen3.7 Plus AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Qwen: Qwen3.7 Plus is more budget-friendly at $1.28/1M 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

Qwen: Qwen3.7 Plus holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench

Llama 3.1 405BTop code solve rate

ReasoningGPQA / Live

Llama 3.1 405BTop logical accuracy

Best Value$/1M Tok

Qwen: Qwen3.7 PlusLowest API billing cost

Speed / TokTok/Sec

Llama 3.1 405BFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Llama 3.1 405B (0)Qwen: Qwen3.7 Plus (3)

Llama 3.1 405B

0 of 3 Wins

Competitive baseline across remaining benchmarks

Qwen: Qwen3.7 Plus

3 of 3 Wins

✓Input price✓Output price✓Context window

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderQwen: Qwen3.7 Plus Wins

Qwen: Qwen3.7 Plus

$1.28 / 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 405B (7)vsQwen: Qwen3.7 Plus (3)

Llama 3.1 405B: 7W (70%)Qwen: Qwen3.7 Plus: 3W (30%)

← Llama 3.1 405BQwen: Qwen3.7 Plus →

🏆Llama 3.1 405B Leads(5/5)

Intelligence & Reasoning

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

Benchmark

Llama 3.1 405BvsQwen: Qwen3.7 Plus

Preference Elo

1,370vs—

Coding Elo

1,385vs—

SWE-bench

58.4%vs—

LiveBench

61.2%vs—

GPQA Diamond

75.2%vs—

Llama 3.1 405B: 5WQwen: Qwen3.7 Plus: 0W

🏆Llama 3.1 405B Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Llama 3.1 405BvsQwen: Qwen3.7 Plus

Output speed

42 tok/svs—

Time to first token

360 msvs—

Llama 3.1 405B: 2WQwen: Qwen3.7 Plus: 0W

🏆Qwen: Qwen3.7 Plus Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Llama 3.1 405BvsQwen: Qwen3.7 Plus

Output price

$3.5/1Mvs$1.28/1M+$2.22/1M

Input price

$1.25/1Mvs$0.32/1M+$0.93/1M

Context window

128kvs1M+872k

Llama 3.1 405B: 0WQwen: Qwen3.7 Plus: 3W

Side-by-Side Benchmark Matrix

Llama 3.1 405BQwen: Qwen3.7 Plus

Preference Elo

Llama 3.1 405B1,370

Qwen: Qwen3.7 Plus—

Coding Elo

Llama 3.1 405B1,385

Qwen: Qwen3.7 Plus—

LiveBench

Llama 3.1 405B61.2%

Qwen: Qwen3.7 Plus—

SWE-bench

Llama 3.1 405B58.4%

Qwen: Qwen3.7 Plus—

GPQA Diamond

Llama 3.1 405B75.2%

Qwen: Qwen3.7 Plus—

Time to first token

Llama 3.1 405B360 ms

Qwen: Qwen3.7 Plus—

Output speed

Llama 3.1 405B42 tok/s

Qwen: Qwen3.7 Plus—

Input priceQwen: Qwen3.7 Plus +$0.93/1M

Llama 3.1 405B$1.25/1M

Qwen: Qwen3.7 Plus$0.32/1M

Output priceQwen: Qwen3.7 Plus +$2.22/1M

Llama 3.1 405B$3.5/1M

Qwen: Qwen3.7 Plus$1.28/1M

Context windowQwen: Qwen3.7 Plus +872k

Llama 3.1 405B128k

Qwen: Qwen3.7 Plus1M

Benchmark	Llama 3.1 405B	Qwen: Qwen3.7 Plus	Advantage Delta
Preference Elo	1,370 lmarena · Aug 17, 2026	—	—
Coding Elo	1,385 lmarena · Aug 17, 2026	—	—
LiveBench	61.2% livebench · Aug 17, 2026	—	—
SWE-bench	58.4% swebench · Aug 17, 2026	—	—
GPQA Diamond	75.2% seed-bootstrap · Aug 1, 2026	—	—
Time to first token	360 ms seed-bootstrap · Aug 1, 2026	—	—
Output speed	42 tok/s seed-bootstrap · Aug 1, 2026	—	—
Input price	$1.25/1M seed-bootstrap · Aug 1, 2026	$0.32/1M openrouter · Aug 17, 2026	+$0.93/1M
Output price	$3.5/1M seed-bootstrap · Aug 1, 2026	$1.28/1M openrouter · Aug 17, 2026	+$2.22/1M
Context window	128k seed-bootstrap · Aug 1, 2026	1M openrouter · Aug 17, 2026	+872k

Workload Cost & Savings Calculator

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

Save 68% with Qwen: Qwen3.7 Plus

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 405B$96.25 / mo

In: $43.75Out: $52.5

Qwen: Qwen3.7 Plus$30.40 / mo

In: $11.2Out: $19.2

Estimated Cost Delta

Qwen: Qwen3.7 Plus is estimated to save $65.85/month ($790/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen: Qwen3.7 Plus:Pick Qwen: Qwen3.7 Plus when you are optimizing output cost.
2
Qwen: Qwen3.7 Plus:Pick Qwen: Qwen3.7 Plus for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3.7 Plus

Lower output list price ($1.28/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.7 Plus

Larger window (1M).

Screenshots / visionQwen: Qwen3.7 Plus

Qwen: Qwen3.7 Plus 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	Qwen: Qwen3.7 Plus	Lower output list price ($1.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3.7 Plus	Larger window (1M).
Screenshots / vision	Qwen: Qwen3.7 Plus	Qwen: Qwen3.7 Plus 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 405B

Elo 1,370

SWE-bench58.4%

Speed (tok/s)42 tok/s

Input / 1M Tokens$1.25/1M

Output / 1M Tokens$3.5/1M

Alibaba

Qwen: Qwen3.7 Plus

Elo n/a

SWE-bench—

Speed (tok/s)1M

Input / 1M Tokens$0.32/1M

Output / 1M Tokens$1.28/1M

Frequently Asked Questions

Which is better overall, Llama 3.1 405B or Qwen: Qwen3.7 Plus?: 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 405B or Qwen: Qwen3.7 Plus?: 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?: Qwen: Qwen3.7 Plus output tokens are $1.28/1M versus $3.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.1 405B or Qwen: Qwen3.7 Plus?: We do not have TTFT for both models.
Which has the larger context window?: Qwen: Qwen3.7 Plus accepts 1M tokens versus 128k.
Can I self-host either model?: Llama 3.1 405B 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 405B and Qwen: Qwen3.7 Plus Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Llama 3.1 405B matchups →|All Qwen: Qwen3.7 Plus matchups →

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

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 405BQwen: Qwen3.7 Plus

Preference Elo

Llama 3.1 405B1,370

Qwen: Qwen3.7 Plus—

Coding Elo

Llama 3.1 405B1,385

Qwen: Qwen3.7 Plus—

LiveBench

Llama 3.1 405B61.2%

Qwen: Qwen3.7 Plus—

SWE-bench

Llama 3.1 405B58.4%

Qwen: Qwen3.7 Plus—

GPQA Diamond

Llama 3.1 405B75.2%

Qwen: Qwen3.7 Plus—

Time to first token

Llama 3.1 405B360 ms

Qwen: Qwen3.7 Plus—

Output speed

Llama 3.1 405B42 tok/s

Qwen: Qwen3.7 Plus—

Input priceQwen: Qwen3.7 Plus +$0.93/1M

Llama 3.1 405B$1.25/1M

Qwen: Qwen3.7 Plus$0.32/1M

Output priceQwen: Qwen3.7 Plus +$2.22/1M

Llama 3.1 405B$3.5/1M

Qwen: Qwen3.7 Plus$1.28/1M

Context windowQwen: Qwen3.7 Plus +872k

Llama 3.1 405B128k

Qwen: Qwen3.7 Plus1M

Benchmark

Llama 3.1 405B

Qwen: Qwen3.7 Plus

Advantage Delta

Preference Elo

1,370

lmarena · Aug 17, 2026

—

Coding Elo

1,385

lmarena · Aug 17, 2026

—

LiveBench

61.2%

livebench · Aug 17, 2026

—

SWE-bench

58.4%

swebench · Aug 17, 2026

—

GPQA Diamond

75.2%

seed-bootstrap · Aug 1, 2026

—

Time to first token

360 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

42 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$1.25/1M

seed-bootstrap · Aug 1, 2026

$0.32/1M

openrouter · Aug 17, 2026

+$0.93/1M

Output price

$3.5/1M

seed-bootstrap · Aug 1, 2026

$1.28/1M

openrouter · Aug 17, 2026

+$2.22/1M

Context window

128k

seed-bootstrap · Aug 1, 2026

openrouter · Aug 17, 2026

+872k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3.7 Plus

Lower output list price ($1.28/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.7 Plus

Larger window (1M).

Screenshots / visionQwen: Qwen3.7 Plus

Qwen: Qwen3.7 Plus 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	Qwen: Qwen3.7 Plus	Lower output list price ($1.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3.7 Plus	Larger window (1M).
Screenshots / vision	Qwen: Qwen3.7 Plus	Qwen: Qwen3.7 Plus is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Llama 3.1 405B or Qwen: Qwen3.7 Plus?

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 405B or Qwen: Qwen3.7 Plus?

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?

Qwen: Qwen3.7 Plus output tokens are $1.28/1M versus $3.5/1M. Input prices and retry rates still move the real bill.

Which is faster, Llama 3.1 405B or Qwen: Qwen3.7 Plus?

We do not have TTFT for both models.

Which has the larger context window?

Qwen: Qwen3.7 Plus accepts 1M tokens versus 128k.

Can I self-host either model?

Llama 3.1 405B 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 405B and Qwen: Qwen3.7 Plus Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.