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

OpenRouter: Fusion vs GPT-4 Turbo benchmark

Name: OpenRouter: Fusion vs GPT-4 Turbo AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares OpenRouter: Fusion (openrouter) and GPT-4 Turbo (OpenAI) using the latest snapshots we have as of Aug 17, 2026. OpenRouter: Fusion wins on output price at $-1,000,000/1M. OpenRouter: Fusion has the larger context window (1M 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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openrouter

OpenRouter: Fusion

Auto-discovered from OpenRouter (openrouter/fusion). Preview until a second source matches.

$-1000000/1M out

OpenAI

GPT-4 Turbo

GPT-4 Turbo 128k. Historical flagship for gpt-4 turbo vs gpt-4o / gpt-5.

Elo 1,255$30/1M 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.

OpenRouter: Fusion (3)vsGPT-4 Turbo (6)

OpenRouter: Fusion: 3W (33%)Overall: GPT-4 TurboGPT-4 Turbo: 6W (67%)

← OpenRouter: FusionGPT-4 Turbo →

GPT-4 Turbo (4/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,255

Coding Elo

—vs—

SWE-bench

—vs33.2%

LiveBench

—vs47%

GPQA Diamond

—vs48%

OpenRouter: Fusion: 0WGPT-4 Turbo: 4W

GPT-4 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs55 tok/s

Time to first token

—vs350 ms

OpenRouter: Fusion: 0WGPT-4 Turbo: 2W

OpenRouter: Fusion (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$-1,000,000/1Mvs$30/1M

Input price

$-1,000,000/1Mvs$10/1M

Context window

1Mvs128k

OpenRouter: Fusion: 3WGPT-4 Turbo: 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 AdvantageGPT-4 Turbo 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

OpenRouter: Fusion

$1000030.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,255

LiveBench

High is better

—

LiveBenchHigh is better

47%

SWE-bench

High is better

—

SWE-benchHigh is better

33.2%

GPQA

High is better

—

GPQAHigh is better

48%

TTFT

Low is better

—

TTFTLow is better

350 ms

Speed

High is better

—

SpeedHigh is better

55 tok/s

In $

Low is better

-$1,000,000.00 / 1M

In $Low is better

$10.00 / 1M

Out $

Low is better

-$1,000,000.00 / 1M

Out $Low is better

$30.00 / 1M

Context

High is better

+681%1M

ContextHigh is better

128k

Key Selection Recommendations

1
OpenRouter: Fusion:Pick OpenRouter: Fusion when you are optimizing output cost.
2
OpenRouter: Fusion:Pick OpenRouter: Fusion for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenRouter: Fusion

Lower output list price ($-1,000,000/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenRouter: Fusion

Larger window (1M).

Screenshots / visionGPT-4 Turbo

GPT-4 Turbo 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	OpenRouter: Fusion	Lower output list price ($-1,000,000/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenRouter: Fusion	Larger window (1M).
Screenshots / vision	GPT-4 Turbo	GPT-4 Turbo is the side marked multimodal in the catalog.

Community Sentiment

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LIVE

openrouter

OpenRouter: Fusion

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$-1,000,000/1M

OpenAI

GPT-4 Turbo

Elo 1,255

LiveBench47%

SWE-bench33.2%

Speed55 tok/s

Output cost$30/1M

Frequently Asked Questions

Which is better overall, OpenRouter: Fusion or GPT-4 Turbo?: 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, OpenRouter: Fusion or GPT-4 Turbo?: 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?: OpenRouter: Fusion output tokens are $-1,000,000/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, OpenRouter: Fusion or GPT-4 Turbo?: We do not have TTFT for both models.
Which has the larger context window?: OpenRouter: Fusion accepts 1M tokens versus 128k.
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. OpenRouter: Fusion and GPT-4 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All OpenRouter: Fusion matchups →|All GPT-4 Turbo matchups →

GPT-4 Turbo vs GPT-4o (next gpt-flagship)GPT-5 vs GPT-4 Turbo GPT-4.5 Orion vs GPT-4 Turbo GPT-5.6 Sol vs GPT-4 Turbo GPT-5.6 Terra vs GPT-4 Turbo GPT-5 mini vs GPT-4 Turbo

OpenRouter: Fusion vs GPT-4 Turbo benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

OpenRouter: Fusion (3)vsGPT-4 Turbo (6)

OpenRouter: Fusion: 3W (33%)Overall: GPT-4 TurboGPT-4 Turbo: 6W (67%)

← OpenRouter: FusionGPT-4 Turbo →

GPT-4 Turbo (4/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,255

Coding Elo

—vs—

SWE-bench

—vs33.2%

LiveBench

—vs47%

GPQA Diamond

—vs48%

OpenRouter: Fusion: 0WGPT-4 Turbo: 4W

GPT-4 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs55 tok/s

Time to first token

—vs350 ms

OpenRouter: Fusion: 0WGPT-4 Turbo: 2W

OpenRouter: Fusion (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$-1,000,000/1Mvs$30/1M

Input price

$-1,000,000/1Mvs$10/1M

Context window

1Mvs128k

OpenRouter: Fusion: 3WGPT-4 Turbo: 0W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenRouter: Fusion

Lower output list price ($-1,000,000/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenRouter: Fusion

Larger window (1M).

Screenshots / visionGPT-4 Turbo

GPT-4 Turbo 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	OpenRouter: Fusion	Lower output list price ($-1,000,000/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenRouter: Fusion	Larger window (1M).
Screenshots / vision	GPT-4 Turbo	GPT-4 Turbo is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, OpenRouter: Fusion or GPT-4 Turbo?

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, OpenRouter: Fusion or GPT-4 Turbo?

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?

OpenRouter: Fusion output tokens are $-1,000,000/1M versus $30/1M. Input prices and retry rates still move the real bill.

Which is faster, OpenRouter: Fusion or GPT-4 Turbo?

We do not have TTFT for both models.

Which has the larger context window?

OpenRouter: Fusion accepts 1M tokens versus 128k.

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. OpenRouter: Fusion and GPT-4 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.