Pairwise benchmark snapshot · Aug 1, 2026

Qwen 2.5 Coder 32B vs Yi-Lightning benchmark

Name: Qwen 2.5 Coder 32B vs Yi-Lightning AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Qwen 2.5 Coder 32B (Alibaba) and Yi-Lightning (01.AI) using the latest snapshots we have as of Aug 1, 2026. On preference Elo, Yi-Lightning is ahead by 50 points (1,475 vs 1,425; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Qwen 2.5 Coder 32B resolves 65.2% versus 63.4% (seed-bootstrap (Aug 1, 2026)). Yi-Lightning streams faster (130 tok/s) while Yi-Lightning is the cheaper output token ($0.14/1M). Qwen 2.5 Coder 32B has the larger context window (131k 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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Alibaba

Qwen 2.5 Coder 32B

Alibaba dedicated open-weight code generation model with near-frontier SWE-bench Verified coding capability.

Elo 1,425$0.72/1M out

01.AI

Yi-Lightning

01.AI ultra-fast reasoning model delivering top LiveBench efficiency.

Elo 1,475$0.14/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Qwen 2.5 Coder 32B (3)vsYi-Lightning (7)

Qwen 2.5 Coder 32B: 3W (30%)Overall: Yi-LightningYi-Lightning: 7W (70%)

← Qwen 2.5 Coder 32BYi-Lightning →

Yi-Lightning (3/5)

Intelligence & Reasoning

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

Preference Elo

1,425vs1,475

Coding Elo

1,495vs1,480

SWE-bench

65.2%vs63.4%

LiveBench

64.8%vs65%

GPQA Diamond

74%vs78%

Qwen 2.5 Coder 32B: 2WYi-Lightning: 3W

Yi-Lightning (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

110 tok/svs130 tok/s

Time to first token

180 msvs150 ms

Qwen 2.5 Coder 32B: 0WYi-Lightning: 2W

Yi-Lightning (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.72/1Mvs$0.14/1M

Input price

$0.18/1Mvs$0.14/1M

Context window

131kvs16k

Qwen 2.5 Coder 32B: 1WYi-Lightning: 2W

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 AdvantageYi-Lightning 4/6

Preference Elo

Yi-Lightning

50 pts advantage

Throughput Speed

Yi-Lightning

20 tok/s faster

Price Efficiency

Yi-Lightning

$0.58/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,425

EloHigh is better

1,475+4%

Code Elo

High is better

+1%1,495

Code EloHigh is better

1,480

LiveBench

High is better

64.8%

LiveBenchHigh is better

65%

SWE-bench

High is better

+3%65.2%

SWE-benchHigh is better

63.4%

GPQA

High is better

74%

GPQAHigh is better

78%+5%

TTFT

Low is better

180 ms

TTFTLow is better

150 ms+20%

Speed

High is better

110 tok/s

SpeedHigh is better

130 tok/s+18%

In $

Low is better

$0.18/1M

In $Low is better

$0.14/1M+29%

Out $

Low is better

$0.72/1M

Out $Low is better

$0.14/1M+414%

Context

High is better

+700%131k

ContextHigh is better

16k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 59% with Yi-Lightning

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Qwen 2.5 Coder 32B$17.10 / mo

In: $6.30Out: $10.80

Yi-Lightning$7.00 / mo

In: $4.90Out: $2.10

Estimated Cost Delta

Yi-Lightning is estimated to save $10.10/month ($121/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen 2.5 Coder 32B:Pick Qwen 2.5 Coder 32B when repo-level coding accuracy is the constraint.
2
Yi-Lightning:Pick Yi-Lightning when you are optimizing output cost.
3
Yi-Lightning:Pick Yi-Lightning when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsQwen 2.5 Coder 32B

Higher SWE-bench (65.2%).

High-volume chatYi-Lightning

Lower output list price ($0.14/1M).

Voice / low-latency UIYi-Lightning

Lower TTFT (150 ms).

Long-document RAGQwen 2.5 Coder 32B

Larger window (131k).

Screenshots / visionYi-Lightning

Yi-Lightning is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Qwen 2.5 Coder 32B	Higher SWE-bench (65.2%).
High-volume chat	Yi-Lightning	Lower output list price ($0.14/1M).
Voice / low-latency UI	Yi-Lightning	Lower TTFT (150 ms).
Long-document RAG	Qwen 2.5 Coder 32B	Larger window (131k).
Screenshots / vision	Yi-Lightning	Yi-Lightning is the side marked multimodal in the catalog.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE

Alibaba

Qwen 2.5 Coder 32B

Elo 1,425

LiveBench64.8%

SWE-bench65.2%

Speed110 tok/s

Output cost$0.72/1M

01.AI

Yi-Lightning

Elo 1,475

LiveBench65%

SWE-bench63.4%

Speed130 tok/s

Output cost$0.14/1M

Frequently Asked Questions

Which is better overall, Qwen 2.5 Coder 32B or Yi-Lightning?: Yi-Lightning has the higher preference Elo in our latest snapshot (1,475). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Qwen 2.5 Coder 32B or Yi-Lightning?: Qwen 2.5 Coder 32B leads SWE-bench at 65.2% vs 63.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Yi-Lightning output tokens are $0.14/1M versus $0.72/1M. Input prices and retry rates still move the real bill.
Which is faster, Qwen 2.5 Coder 32B or Yi-Lightning?: Yi-Lightning has the lower time-to-first-token (150 ms vs 180 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Qwen 2.5 Coder 32B accepts 131k tokens versus 16k.
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. Qwen 2.5 Coder 32B and Yi-Lightning Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Qwen 2.5 Coder 32B matchups →|All Yi-Lightning matchups →

Qwen 2.5 Coder 32B vs Qwen 2.5 Plus (previous qwen)Qwen 2.5 Coder 32B vs Qwen3 235B (next qwen)Yi-Lightning vs Yi-Large (previous other)Yi-Lightning vs Ernie 4.5 Turbo (next other)Qwen QwQ 32B vs Yi-Lightning Qwen 3 Max vs Yi-Lightning

Qwen 2.5 Coder 32B vs Yi-Lightning benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Qwen 2.5 Coder 32B (3)vsYi-Lightning (7)

Qwen 2.5 Coder 32B: 3W (30%)Overall: Yi-LightningYi-Lightning: 7W (70%)

← Qwen 2.5 Coder 32BYi-Lightning →

Yi-Lightning (3/5)

Intelligence & Reasoning

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

Preference Elo

1,425vs1,475

Coding Elo

1,495vs1,480

SWE-bench

65.2%vs63.4%

LiveBench

64.8%vs65%

GPQA Diamond

74%vs78%

Qwen 2.5 Coder 32B: 2WYi-Lightning: 3W

Yi-Lightning (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

110 tok/svs130 tok/s

Time to first token

180 msvs150 ms

Qwen 2.5 Coder 32B: 0WYi-Lightning: 2W

Yi-Lightning (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.72/1Mvs$0.14/1M

Input price

$0.18/1Mvs$0.14/1M

Context window

131kvs16k

Qwen 2.5 Coder 32B: 1WYi-Lightning: 2W

Recommended Workload Routing

Repo / coding agentsQwen 2.5 Coder 32B

Higher SWE-bench (65.2%).

High-volume chatYi-Lightning

Lower output list price ($0.14/1M).

Voice / low-latency UIYi-Lightning

Lower TTFT (150 ms).

Long-document RAGQwen 2.5 Coder 32B

Larger window (131k).

Screenshots / visionYi-Lightning

Yi-Lightning is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Qwen 2.5 Coder 32B	Higher SWE-bench (65.2%).
High-volume chat	Yi-Lightning	Lower output list price ($0.14/1M).
Voice / low-latency UI	Yi-Lightning	Lower TTFT (150 ms).
Long-document RAG	Qwen 2.5 Coder 32B	Larger window (131k).
Screenshots / vision	Yi-Lightning	Yi-Lightning is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Qwen 2.5 Coder 32B or Yi-Lightning?

Yi-Lightning has the higher preference Elo in our latest snapshot (1,475). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Qwen 2.5 Coder 32B or Yi-Lightning?

Qwen 2.5 Coder 32B leads SWE-bench at 65.2% vs 63.4%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Yi-Lightning output tokens are $0.14/1M versus $0.72/1M. Input prices and retry rates still move the real bill.

Which is faster, Qwen 2.5 Coder 32B or Yi-Lightning?

Yi-Lightning has the lower time-to-first-token (150 ms vs 180 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Qwen 2.5 Coder 32B accepts 131k tokens versus 16k.

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. Qwen 2.5 Coder 32B and Yi-Lightning Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.