Pairwise benchmark snapshot · Aug 1, 2026noindex (thin pair)

FLUX.1 [dev] vs Qwen 2.5 Coder 32B benchmark

Name: FLUX.1 [dev] vs Qwen 2.5 Coder 32B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares FLUX.1 [dev] (Black Forest Labs) and Qwen 2.5 Coder 32B (Alibaba) using the latest snapshots we have as of Aug 1, 2026. 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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Black Forest Labs

FLUX.1 [dev]

Open-weights non-commercial base model with 12B parameters, serving as the foundation for the open-source fine-tuning ecosystem.

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

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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.

FLUX.1 [dev] (0)vsQwen 2.5 Coder 32B (10)

FLUX.1 [dev]: 0W (0%)Overall: Qwen 2.5 Coder 32BQwen 2.5 Coder 32B: 10W (100%)

← FLUX.1 [dev]Qwen 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%

FLUX.1 [dev]: 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

FLUX.1 [dev]: 0WQwen 2.5 Coder 32B: 2W

Qwen 2.5 Coder 32B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

—vs$0.72/1M

Input price

—vs$0.18/1M

Context window

—vs131k

FLUX.1 [dev]: 0WQwen 2.5 Coder 32B: 3W

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 AdvantageFLUX.1 [dev] 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

No shared data

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,425

Code Elo

High is better

—

Code EloHigh is better

1,495

LiveBench

High is better

—

LiveBenchHigh is better

64.8%

SWE-bench

High is better

—

SWE-benchHigh is better

65.2%

GPQA

High is better

—

GPQAHigh is better

74%

TTFT

Low is better

—

TTFTLow is better

180 ms

Speed

High is better

—

SpeedHigh is better

110 tok/s

In $

Low is better

—

In $Low is better

$0.18/1M

Out $

Low is better

—

Out $Low is better

$0.72/1M

Context

High is better

—

ContextHigh is better

131k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visionFLUX.1 [dev]

FLUX.1 [dev] 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	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	FLUX.1 [dev]	FLUX.1 [dev] is the side marked multimodal in the catalog.

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CompareLLM Matrix

Verified head-to-head card

LIVE

Black Forest Labs

FLUX.1 [dev]

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

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, FLUX.1 [dev] 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, FLUX.1 [dev] 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?: List prices are missing for at least one model.
Which is faster, FLUX.1 [dev] or Qwen 2.5 Coder 32B?: We do not have TTFT for both models.
Which has the larger context window?: Context window is missing for at least one model.
Can I self-host either model?: Both FLUX.1 [dev] and Qwen 2.5 Coder 32B are marked open-weights. Hosting cost is not in this table.
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. FLUX.1 [dev] 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 FLUX.1 [dev] matchups →|All Qwen 2.5 Coder 32B matchups →

FLUX.1 [dev] vs FLUX.1 [schnell] (next flux)Qwen 2.5 Coder 32B vs Qwen 2.5 Plus (previous qwen)Qwen 2.5 Coder 32B vs Qwen3 235B (next qwen)Qwen QwQ 32B vs Qwen 2.5 Coder 32B Qwen 3 Max vs Qwen 2.5 Coder 32B FLUX.2 [max] vs FLUX.1 [dev]

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

FLUX.1 [dev] (0)vsQwen 2.5 Coder 32B (10)

FLUX.1 [dev]: 0W (0%)Overall: Qwen 2.5 Coder 32BQwen 2.5 Coder 32B: 10W (100%)

← FLUX.1 [dev]Qwen 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%

FLUX.1 [dev]: 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

FLUX.1 [dev]: 0WQwen 2.5 Coder 32B: 2W

Qwen 2.5 Coder 32B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

—vs$0.72/1M

Input price

—vs$0.18/1M

Context window

—vs131k

FLUX.1 [dev]: 0WQwen 2.5 Coder 32B: 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visionFLUX.1 [dev]

FLUX.1 [dev] 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	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	FLUX.1 [dev]	FLUX.1 [dev] is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, FLUX.1 [dev] 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, FLUX.1 [dev] 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?

List prices are missing for at least one model.

Which is faster, FLUX.1 [dev] or Qwen 2.5 Coder 32B?

We do not have TTFT for both models.

Which has the larger context window?

Context window is missing for at least one model.

Can I self-host either model?

Both FLUX.1 [dev] and Qwen 2.5 Coder 32B are marked open-weights. Hosting cost is not in this table.

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. FLUX.1 [dev] and Qwen 2.5 Coder 32B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.