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

FLUX.1 [schnell] vs GPT-5.6 Sol benchmark

Name: FLUX.1 [schnell] vs GPT-5.6 Sol AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares FLUX.1 [schnell] (Black Forest Labs) and GPT-5.6 Sol (OpenAI) 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.1 [schnell]

Apache 2.0 4-step distilled open weights model optimized for local inference and instant preview generation.

Schnell 4-StepImg Elo 1,142$15/1k imgs

OpenAI

GPT-5.6 Sol

OpenAI 5.6 flagship tier. Official API $5/$30 per 1M tokens (OpenAI pricing, Jul 30 2026 update left Sol unchanged).

Img Elo 1,608

Model Lineage & Multi-Tier Derivatives

FLUX.1 Series Family (3 models)

Compare vs Base (FLUX.1.1 [pro])

FLUX.1.1 [pro]

Black Forest Labs

Flagship Base

Elo

1210

Latency

3.2s

Price

$50/1k

View model →vs this

FLUX.1 [dev]

Black Forest Labs

Open Dev 12B

Elo

1180

Latency

Price

$30/1k

-30 Elo-40% cost

View model →vs this

FLUX.1 [schnell]

Black Forest Labs

Schnell 4-Step

Elo

1142

Latency

1.2s

Price

$15/1k

-68 Elo-70% cost

Viewing now

GPT-5.6 Sol Inference Compute Profile

Inference-Time Compute & Reasoning EffortDynamic CoT

GPT-5.6 Sol Reasoning Scaler & Token Billing Simulator

Param: reasoning_effort

Reasoning models scale test-time compute by generating hidden chain-of-thought (CoT) tokens. These tokens are billed at standard output rates and directly expand latency (TTFT) in exchange for higher GPQA Diamond and SWE-bench Verified problem resolve rates.

Estimated TTFT

270 ms

1.0x (Standard eval)

CoT Thinking Tokens

~1,500

Billed as output tokens

Est. Cost / 1k Calls

$56.50

4.9x base invoice

STEM / SWE Boost

+4.5%

GPQA & SWE-bench scaling

Medium (Standard) Operational Profile

Default evaluation baseline balancing reasoning depth with stream rate.

Direct Provider APIOpenAI

"reasoning_effort": "medium"

OpenRouter Unified APIUnified Gateway

"reasoning": {
  "effort": "medium",
  "max_tokens": 1500
}

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

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 [schnell] (5)vsGPT-5.6 Sol (0)

FLUX.1 [schnell]: 5W (100%)Overall: FLUX.1 [schnell]GPT-5.6 Sol: 0W (0%)

← FLUX.1 [schnell]GPT-5.6 Sol →

FLUX.1 [schnell] (3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

1,142vs—

Prompt adherence

84%vs—

Text rendering

82%vs—

FLUX.1 [schnell]: 3WGPT-5.6 Sol: 0W

FLUX.1 [schnell] (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

1.2svs—

FLUX.1 [schnell]: 1WGPT-5.6 Sol: 0W

FLUX.1 [schnell] (1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Price per 1k images

$15/1kvs—

FLUX.1 [schnell]: 1WGPT-5.6 Sol: 0W

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 [schnell] 5/6

Image Preference Elo

No shared data

Generation Latency

No shared data

Image Price Efficiency

No shared data

Full Benchmark Score Matrix

—

Img Elo

High is better

1,142

Img EloHigh is better

—

Gen Time

Low is better

1.2s

Gen TimeLow is better

—

Img $

Low is better

$15/1k

Img $Low is better

—

Prompt %

High is better

84%

Prompt %High is better

—

Text %

High is better

82%

Text %High is better

—

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 100% with GPT-5.6 Sol

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

FLUX.1 [schnell]$375.00 / mo

Rate: $15/1k

GPT-5.6 Sol$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

GPT-5.6 Sol is estimated to save $375.00/month ($4,500/year).

Based on 25k images generated

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 / visioninsufficient data

Both accept images. Defaulting to the higher-Elo side (undefined).

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	insufficient data	Both accept images. Defaulting to the higher-Elo side (undefined).

Related Editorial Dispatches & Benchmark Notes

View all news

compareAug 12, 2026

Grok vs ChatGPT: price and Elo, not a personality contest

Brand hub remaps to top xAI vs top OpenAI. After Aug 12 that is Grok 4.6 vs Sol.

compareJul 24, 2026

Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

Not a frozen 2025 article. Today that is usually Opus 5 vs GPT-5.6 Sol. Dated cells, not a brand fight.

compareJul 16, 2026

Gemini vs GPT: long context versus the OpenAI flagship invoice

Hub remaps to top Google vs top OpenAI Elo. Usually 3.6 Pro vs Sol. Window vs price is the plot.

launchJul 9, 2026

GPT-5.6 Sol: OpenAI’s $5/$30 flagship tier on this leaderboard

Jul 9 2026 family; Jul 30 price update left Sol unchanged. This is the GPT side of Claude vs GPT.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE

Black Forest Labs

FLUX.1 [schnell]

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

OpenAI

GPT-5.6 Sol

Elo 1,608

LiveBench73.9%

SWE-bench77.6%

Speed84 tok/s

Output cost$30/1M

Frequently Asked Questions

Which is better overall, FLUX.1 [schnell] or GPT-5.6 Sol?: 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 [schnell] or GPT-5.6 Sol?: 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 [schnell] or GPT-5.6 Sol?: 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?: FLUX.1 [schnell] 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. FLUX.1 [schnell] and GPT-5.6 Sol Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All FLUX.1 [schnell] matchups →|All GPT-5.6 Sol matchups →

FLUX.1 [schnell] vs FLUX.1 [dev] (previous flux)FLUX.1 [schnell] vs FLUX.1.1 [pro] (next flux)GPT-5.6 Sol vs GPT-5 (previous gpt-flagship)GPT-4.5 Orion vs GPT-5.6 Sol GPT-5.6 Terra vs GPT-5.6 Sol GPT Image 2 (High) vs FLUX.1 [schnell]

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

FLUX.1 [schnell] (5)vsGPT-5.6 Sol (0)

FLUX.1 [schnell]: 5W (100%)Overall: FLUX.1 [schnell]GPT-5.6 Sol: 0W (0%)

← FLUX.1 [schnell]GPT-5.6 Sol →

FLUX.1 [schnell] (3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Image Elo

1,142vs—

Prompt adherence

84%vs—

Text rendering

82%vs—

FLUX.1 [schnell]: 3WGPT-5.6 Sol: 0W

FLUX.1 [schnell] (1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Generation time

1.2svs—

FLUX.1 [schnell]: 1WGPT-5.6 Sol: 0W

FLUX.1 [schnell] (1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Price per 1k images

$15/1kvs—

FLUX.1 [schnell]: 1WGPT-5.6 Sol: 0W

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 / visioninsufficient data

Both accept images. Defaulting to the higher-Elo side (undefined).

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	insufficient data	Both accept images. Defaulting to the higher-Elo side (undefined).

Frequently Asked Questions

Which is better overall, FLUX.1 [schnell] or GPT-5.6 Sol?

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 [schnell] or GPT-5.6 Sol?

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 [schnell] or GPT-5.6 Sol?

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?

FLUX.1 [schnell] 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. FLUX.1 [schnell] and GPT-5.6 Sol Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

FLUX.1 Series Family (3 models)

GPT-5.6 Sol Reasoning Scaler & Token Billing Simulator

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Visual Quality & Adherence

Generation Latency

Cost Efficiency

Multi-Dimensional Capability Radar

No shared data

No shared data

No shared data

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Grok vs ChatGPT: price and Elo, not a personality contest

Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

Gemini vs GPT: long context versus the OpenAI flagship invoice

GPT-5.6 Sol: OpenAI’s $5/$30 flagship tier on this leaderboard

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

FLUX.1 [schnell]

GPT-5.6 Sol

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

FLUX.1 Series Family (3 models)

GPT-5.6 Sol Reasoning Scaler & Token Billing Simulator

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Visual Quality & Adherence

Generation Latency

Cost Efficiency

Multi-Dimensional Capability Radar

No shared data

No shared data

No shared data

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Grok vs ChatGPT: price and Elo, not a personality contest

Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

Gemini vs GPT: long context versus the OpenAI flagship invoice

GPT-5.6 Sol: OpenAI’s $5/$30 flagship tier on this leaderboard

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

FLUX.1 [schnell]

GPT-5.6 Sol

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons