What is the difference between DeepSeek V4.1 Flash and OpenRouter Fusion · Quality (Jun 2026)?

DeepSeek V4.1 Flash is developed by DeepSeek while OpenRouter Fusion · Quality (Jun 2026) is developed by OpenRouter. DeepSeek V4.1 Flash has a 1.0M token context window vs OpenRouter Fusion · Quality (Jun 2026)'s 256K. You can compare their actual outputs across 6 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V4.1 Flash or OpenRouter Fusion · Quality (Jun 2026)?

It depends on your use case. DeepSeek V4.1 Flash and OpenRouter Fusion · Quality (Jun 2026) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 6 challenges so you can judge which fits your needs best.

How can I compare DeepSeek V4.1 Flash and OpenRouter Fusion · Quality (Jun 2026) on Rival?

This page shows a side-by-side comparison of DeepSeek V4.1 Flash and OpenRouter Fusion · Quality (Jun 2026) across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

Updated Sep 2026

DeepSeek V4.1 FlashvsOpenRouter Fusion · Quality (Jun 2026)

DeepSeek V4.1 Flash has a larger context window than OpenRouter Fusion · Quality (Jun 2026) (1.0M tokens vs 256K tokens).

DeepSeek V4.1 Flash and OpenRouter Fusion · Quality (Jun 2026) compared across 6 shared prompts
Spec	DeepSeek V4.1 Flash	OpenRouter Fusion · Quality (Jun 2026)
Input price	$0.15/M tokens	—
Output price	$0.6/M tokens	—
Context window	1.0M tokens	256K tokens
Weights	Open	—
Free API (OpenRouter)	No	No
Released	Sep 2026	Jun 2026

Our Verdict

DeepSeek V4.1 Flash

OpenRouter Fusion · Quality (Jun 2026)

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

API pricing

Cost per 1M tokens

DeepSeek V4.1 Flash

Input

$0.15

Output

$0.60

OpenRouter Fusion · Quality (Jun 2026)

Input

—

Output

—

Where to run it

23 hosts, cheapest first

DeepSeek V4.1 Flash23 hosts

HostInOutContextUptime

OpenInferencefp4$0.10 in$0.50 out1M99.5% up Wafer$0.12 in$0.60 out1M99.7% up Relacefp4$0.12 in$0.52 out1M99.9% up Morph$0.13 in$0.51 out1M98.4% up Sail Researchfp4$0.13 in$0.75 out1M99.9% up DeepInfrafp8$0.14 in$0.42 out1M99.7% up

17 more hosts

StreamLakefp8$0.15 in$0.60 out1M99.5% up CoreWeavefp8$0.20 in$0.65 out1M99.2% up Fireworks$0.22 in$0.66 out1M98.8% up Phala$0.28 in$1.10 out1M99.4% up GMI Cloudfp8$0.28 in$1.14 out1M99.6% up Novitafp8$0.28 in$1.14 out1M100% up Alibaba Cloud$0.30 in$1.20 out1M99.9% up AtlasCloudfp8$0.30 in$1.20 out1M99.7% up Basetenfp8$0.30 in$1.20 out1M99.4% up DeepSeek$0.30 in$1.20 out1M100% up DigitalOcean$0.30 in$1.20 out1M97.9% up Makora$0.30 in$1.20 out1M98.9% up Modal$0.30 in$1.20 out1M99.8% up SiliconFlowfp8$0.30 in$1.20 out1M99.8% up Together$0.30 in$1.20 out1M99.9% up Venicefp8$0.38 in$1.50 out1M96.7% up Parasailfp8degraded$0.30 in$1.20 out1M93% up

OpenRouter Fusion · Quality (Jun 2026)

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

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More comparisons

Cost per 1M tokens

23 hosts, cheapest first

What we learned reading every model

Common questions

What is the difference between DeepSeek V4.1 Flash and OpenRouter Fusion · Quality (Jun 2026)?

Which is better, DeepSeek V4.1 Flash or OpenRouter Fusion · Quality (Jun 2026)?

How can I compare DeepSeek V4.1 Flash and OpenRouter Fusion · Quality (Jun 2026) on Rival?

More comparisons

Against the newest arrivals

Same lab, same size, long tail

Model pages

Cost per 1M tokens

23 hosts, cheapest first

What we learned reading every model

Common questions

What is the difference between DeepSeek V4.1 Flash and OpenRouter Fusion · Quality (Jun 2026)?

Which is better, DeepSeek V4.1 Flash or OpenRouter Fusion · Quality (Jun 2026)?

How can I compare DeepSeek V4.1 Flash and OpenRouter Fusion · Quality (Jun 2026) on Rival?

More comparisons

Against the newest arrivals

Same lab, same size, long tail

Model pages