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

FLUX.2 [max] vs Qwen2.5 Coder 32B Instruct benchmark

Name: FLUX.2 [max] vs Qwen2.5 Coder 32B Instruct AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares FLUX.2 [max] (Black Forest Labs) and Qwen2.5 Coder 32B Instruct (Alibaba) using the latest snapshots we have as of Aug 17, 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.2 [max]

Black Forest Labs maximum-capacity flow-matching model with photoreal anatomy and leading typography fidelity.

Alibaba

Qwen2.5 Coder 32B Instruct

Auto-discovered from OpenRouter (qwen/qwen-2.5-coder-32b-instruct). Preview until a second source matches.

Elo 1,425$1/1M 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.2 [max] (0)vsQwen2.5 Coder 32B Instruct (7)

FLUX.2 [max]: 0W (0%)Overall: Qwen2.5 Coder 32B InstructQwen2.5 Coder 32B Instruct: 7W (100%)

← FLUX.2 [max]Qwen2.5 Coder 32B Instruct →

Qwen2.5 Coder 32B Instruct (4/5)

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

—vs—

FLUX.2 [max]: 0WQwen2.5 Coder 32B Instruct: 4W

Tied (0/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs—

Time to first token

—vs—

FLUX.2 [max]: 0WQwen2.5 Coder 32B Instruct: 0W

Qwen2.5 Coder 32B Instruct (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

—vs$1/1M

Input price

—vs$0.66/1M

Context window

—vs33k

FLUX.2 [max]: 0WQwen2.5 Coder 32B Instruct: 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.2 [max] 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%

In $

Low is better

—

In $Low is better

$0.66/1M

Out $

Low is better

—

Out $Low is better

$1/1M

Context

High is better

—

ContextHigh is better

33k

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.2 [max]

FLUX.2 [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	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.2 [max]	FLUX.2 [max] is the side marked multimodal in the catalog.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE

Black Forest Labs

FLUX.2 [max]

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Alibaba

Qwen2.5 Coder 32B Instruct

Elo 1,425

LiveBench64.8%

SWE-bench65.2%

Speed—

Output cost$1/1M

Frequently Asked Questions

Which is better overall, FLUX.2 [max] or Qwen2.5 Coder 32B Instruct?: 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.2 [max] or Qwen2.5 Coder 32B Instruct?: 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.2 [max] or Qwen2.5 Coder 32B Instruct?: 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?: Neither model is marked open-weights here. You are comparing hosted APIs.
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.2 [max] and Qwen2.5 Coder 32B Instruct Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All FLUX.2 [max] matchups →|All Qwen2.5 Coder 32B Instruct matchups →

FLUX.2 [max] vs FLUX.2 [flex] (previous flux)Qwen2.5 Coder 32B Instruct vs Qwen 2.5 Plus (next qwen)Qwen 3 Max vs Qwen2.5 Coder 32B Instruct Qwen Image 2.0 Pro vs FLUX.2 [max]Qwen QwQ 32B vs Qwen2.5 Coder 32B Instruct FLUX.1.1 [pro] vs FLUX.2 [max]

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

FLUX.2 [max] (0)vsQwen2.5 Coder 32B Instruct (7)

FLUX.2 [max]: 0W (0%)Overall: Qwen2.5 Coder 32B InstructQwen2.5 Coder 32B Instruct: 7W (100%)

← FLUX.2 [max]Qwen2.5 Coder 32B Instruct →

Qwen2.5 Coder 32B Instruct (4/5)

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

—vs—

FLUX.2 [max]: 0WQwen2.5 Coder 32B Instruct: 4W

Tied (0/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs—

Time to first token

—vs—

FLUX.2 [max]: 0WQwen2.5 Coder 32B Instruct: 0W

Qwen2.5 Coder 32B Instruct (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

—vs$1/1M

Input price

—vs$0.66/1M

Context window

—vs33k

FLUX.2 [max]: 0WQwen2.5 Coder 32B Instruct: 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.2 [max]

FLUX.2 [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	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.2 [max]	FLUX.2 [max] is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, FLUX.2 [max] or Qwen2.5 Coder 32B Instruct?

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.2 [max] or Qwen2.5 Coder 32B Instruct?

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.2 [max] or Qwen2.5 Coder 32B Instruct?

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?

Neither model is marked open-weights here. You are comparing hosted APIs.

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.2 [max] and Qwen2.5 Coder 32B Instruct Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.