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

Meta: Llama 3.2 1B Instruct vs Qwen 2.5 Coder 32B benchmark

Name: Meta: Llama 3.2 1B Instruct vs Qwen 2.5 Coder 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Meta: Llama 3.2 1B Instruct is more budget-friendly at $0.201/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

Meta: Llama 3.2 1B Instruct

$0.201 / 1M output

Capability Percentiles

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

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 2.5 Coder 32B 5/6

Head-to-Head Comparison

Overall Matchup Breakdown

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

Meta: Llama 3.2 1B Instruct (2)vsQwen 2.5 Coder 32B (8)

Meta: Llama 3.2 1B Instruct: 2W (20%)Overall: Qwen 2.5 Coder 32BQwen 2.5 Coder 32B: 8W (80%)

← Meta: Llama 3.2 1B InstructQwen 2.5 Coder 32B →

Qwen 2.5 Coder 32B (5/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,425

Coding Elo

—vs1,495

SWE-bench

—vs65.2%

LiveBench

—vs64.8%

GPQA Diamond

—vs74%

Meta: Llama 3.2 1B Instruct: 0WQwen 2.5 Coder 32B: 5W

Qwen 2.5 Coder 32B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs110 tok/s

Time to first token

—vs180 ms

Meta: Llama 3.2 1B Instruct: 0WQwen 2.5 Coder 32B: 2W

Meta: Llama 3.2 1B Instruct (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.201/1Mvs$0.72/1M

Input price

$0.027/1Mvs$0.18/1M

Context window

60kvs131k

Meta: Llama 3.2 1B Instruct: 2WQwen 2.5 Coder 32B: 1W

Side-by-Side Benchmark Matrix

Preference Elo

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B1,425

seed-bootstrap · Aug 1, 2026

Coding Elo

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B1,495

seed-bootstrap · Aug 1, 2026

LiveBench

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B64.8%

seed-bootstrap · Aug 1, 2026

SWE-bench

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B65.2%

seed-bootstrap · Aug 1, 2026

GPQA Diamond

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B74%

seed-bootstrap · Aug 1, 2026

Time to first token

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B180 ms

seed-bootstrap · Aug 1, 2026

Output speed

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B110 tok/s

seed-bootstrap · Aug 1, 2026

Input priceMeta: Llama 3.2 1B Instruct (+$0.153/1M)

Meta: Llama 3.2 1B Instruct$0.027/1M

openrouter · Aug 17, 2026

Qwen 2.5 Coder 32B$0.18/1M

seed-bootstrap · Aug 1, 2026

Output priceMeta: Llama 3.2 1B Instruct (+$0.519/1M)

Meta: Llama 3.2 1B Instruct$0.201/1M

openrouter · Aug 17, 2026

Qwen 2.5 Coder 32B$0.72/1M

seed-bootstrap · Aug 1, 2026

Context windowQwen 2.5 Coder 32B (+71k)

Meta: Llama 3.2 1B Instruct60k

openrouter · Aug 17, 2026

Qwen 2.5 Coder 32B131k

seed-bootstrap · Aug 1, 2026

Benchmark	Meta: Llama 3.2 1B Instruct	Qwen 2.5 Coder 32B	Advantage Delta
Preference Elo	—	1,425 seed-bootstrap · Aug 1, 2026	—
Coding Elo	—	1,495 seed-bootstrap · Aug 1, 2026	—
LiveBench	—	64.8% seed-bootstrap · Aug 1, 2026	—
SWE-bench	—	65.2% seed-bootstrap · Aug 1, 2026	—
GPQA Diamond	—	74% seed-bootstrap · Aug 1, 2026	—
Time to first token	—	180 ms seed-bootstrap · Aug 1, 2026	—
Output speed	—	110 tok/s seed-bootstrap · Aug 1, 2026	—
Input price	$0.027/1M openrouter · Aug 17, 2026	$0.18/1M seed-bootstrap · Aug 1, 2026	Meta: Llama 3.2 1B Instruct (+$0.153/1M)
Output price	$0.201/1M openrouter · Aug 17, 2026	$0.72/1M seed-bootstrap · Aug 1, 2026	Meta: Llama 3.2 1B Instruct (+$0.519/1M)
Context window	60k openrouter · Aug 17, 2026	131k seed-bootstrap · Aug 1, 2026	Qwen 2.5 Coder 32B (+71k)

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 77% with Meta: Llama 3.2 1B Instruct

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Meta: Llama 3.2 1B Instruct$3.96 / mo

In: $0.945Out: $3.02

Qwen 2.5 Coder 32B$17.10 / mo

In: $6.3Out: $10.8

Estimated Cost Delta

Meta: Llama 3.2 1B Instruct is estimated to save $13.14/month ($158/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Meta: Llama 3.2 1B Instruct:Pick Meta: Llama 3.2 1B Instruct when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMeta: Llama 3.2 1B Instruct

Lower output list price ($0.201/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen 2.5 Coder 32B

Larger window (131k).

Screenshots / visionQwen 2.5 Coder 32B

Qwen 2.5 Coder 32B 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	Meta: Llama 3.2 1B Instruct	Lower output list price ($0.201/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen 2.5 Coder 32B	Larger window (131k).
Screenshots / vision	Qwen 2.5 Coder 32B	Qwen 2.5 Coder 32B is the side marked multimodal in the catalog.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

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CompareLLM Matrix

Verified head-to-head card

LIVE

Meta: Llama 3.2 1B Instruct

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.201/1M

Alibaba

Qwen 2.5 Coder 32B

Elo 1,425

LiveBench64.8%

SWE-bench65.2%

Speed110 tok/s

Output cost$0.72/1M

Frequently Asked Questions

Which is better overall, Meta: Llama 3.2 1B Instruct or Qwen 2.5 Coder 32B?: 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, Meta: Llama 3.2 1B Instruct or Qwen 2.5 Coder 32B?: 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?: Meta: Llama 3.2 1B Instruct output tokens are $0.201/1M versus $0.72/1M. Input prices and retry rates still move the real bill.
Which is faster, Meta: Llama 3.2 1B Instruct or Qwen 2.5 Coder 32B?: We do not have TTFT for both models.
Which has the larger context window?: Qwen 2.5 Coder 32B accepts 131k tokens versus 60k.
Can I self-host either model?: Qwen 2.5 Coder 32B 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. Meta: Llama 3.2 1B Instruct and Qwen 2.5 Coder 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Meta: Llama 3.2 1B Instruct matchups →|All Qwen 2.5 Coder 32B matchups →

Qwen 2.5 Coder 32B vs Qwen 2.5 Plus (previous qwen)Qwen 2.5 Coder 32B vs Qwen3 235B (next qwen)Qwen 3 Max vs Qwen 2.5 Coder 32B Llama 4 Maverick vs Qwen 2.5 Coder 32B Qwen QwQ 32B vs Qwen 2.5 Coder 32B Llama 3.3 70B vs Qwen 2.5 Coder 32B

Capability Percentiles

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

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 2.5 Coder 32B 5/6

Side-by-Side Benchmark Matrix

Preference Elo

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B1,425

seed-bootstrap · Aug 1, 2026

Coding Elo

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B1,495

seed-bootstrap · Aug 1, 2026

LiveBench

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B64.8%

seed-bootstrap · Aug 1, 2026

SWE-bench

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B65.2%

seed-bootstrap · Aug 1, 2026

GPQA Diamond

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B74%

seed-bootstrap · Aug 1, 2026

Time to first token

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B180 ms

seed-bootstrap · Aug 1, 2026

Output speed

Meta: Llama 3.2 1B Instruct—

Qwen 2.5 Coder 32B110 tok/s

seed-bootstrap · Aug 1, 2026

Input priceMeta: Llama 3.2 1B Instruct (+$0.153/1M)

Meta: Llama 3.2 1B Instruct$0.027/1M

openrouter · Aug 17, 2026

Qwen 2.5 Coder 32B$0.18/1M

seed-bootstrap · Aug 1, 2026

Output priceMeta: Llama 3.2 1B Instruct (+$0.519/1M)

Meta: Llama 3.2 1B Instruct$0.201/1M

openrouter · Aug 17, 2026

Qwen 2.5 Coder 32B$0.72/1M

seed-bootstrap · Aug 1, 2026

Context windowQwen 2.5 Coder 32B (+71k)

Meta: Llama 3.2 1B Instruct60k

openrouter · Aug 17, 2026

Qwen 2.5 Coder 32B131k

seed-bootstrap · Aug 1, 2026

Benchmark

Meta: Llama 3.2 1B Instruct

Qwen 2.5 Coder 32B

Advantage Delta

Preference Elo

—

1,425

seed-bootstrap · Aug 1, 2026

—

Coding Elo

—

1,495

seed-bootstrap · Aug 1, 2026

—

LiveBench

—

64.8%

seed-bootstrap · Aug 1, 2026

—

SWE-bench

—

65.2%

seed-bootstrap · Aug 1, 2026

—

GPQA Diamond

—

74%

seed-bootstrap · Aug 1, 2026

—

Time to first token

—

180 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

—

110 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$0.027/1M

openrouter · Aug 17, 2026

$0.18/1M

seed-bootstrap · Aug 1, 2026

Meta: Llama 3.2 1B Instruct (+$0.153/1M)

Output price

$0.201/1M

openrouter · Aug 17, 2026

$0.72/1M

seed-bootstrap · Aug 1, 2026

Meta: Llama 3.2 1B Instruct (+$0.519/1M)

Context window

60k

openrouter · Aug 17, 2026

131k

seed-bootstrap · Aug 1, 2026

Qwen 2.5 Coder 32B (+71k)

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMeta: Llama 3.2 1B Instruct

Lower output list price ($0.201/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen 2.5 Coder 32B

Larger window (131k).

Screenshots / visionQwen 2.5 Coder 32B

Qwen 2.5 Coder 32B 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	Meta: Llama 3.2 1B Instruct	Lower output list price ($0.201/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen 2.5 Coder 32B	Larger window (131k).
Screenshots / vision	Qwen 2.5 Coder 32B	Qwen 2.5 Coder 32B is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Meta: Llama 3.2 1B Instruct or Qwen 2.5 Coder 32B?

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, Meta: Llama 3.2 1B Instruct or Qwen 2.5 Coder 32B?

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?

Meta: Llama 3.2 1B Instruct output tokens are $0.201/1M versus $0.72/1M. Input prices and retry rates still move the real bill.

Which is faster, Meta: Llama 3.2 1B Instruct or Qwen 2.5 Coder 32B?

We do not have TTFT for both models.

Which has the larger context window?

Qwen 2.5 Coder 32B accepts 131k tokens versus 60k.

Can I self-host either model?

Qwen 2.5 Coder 32B 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. Meta: Llama 3.2 1B Instruct and Qwen 2.5 Coder 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.