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  5. DeepSeek V4 FlashvsQwen3.8 Max Prime
Updated Sep 2026

DeepSeek V4 FlashvsQwen3.8 Max Prime

DeepSeek V4 Flash is cheaper than Qwen3.8 Max Prime at $0.14/M vs $4/M input tokens.

DeepSeek V4 Flash and Qwen3.8 Max Prime compared across 19 shared prompts
SpecDeepSeek V4 FlashQwen3.8 Max Prime
Input price$0.14/M tokens$4/M tokens
Output price$0.28/M tokens$12/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 19 prompts both answered. Formatting stripped, words untouched.

Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

DeepSeek V4 Flash442 words
LBO Model: HarborTech Services (HTS) – Base Case & Sensitivity Year-by-Year Financial Projections (FY2026–FY2030) ($ millions) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.00 1,040.04 1,102.44 1,157.56 1,215.44 EBITDA 136.08 156.01 176.39 191.00 206.63 Less: Cash Interest (64.80) (63.08) (60.08) (55.69) (50.16) –…
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Qwen3.8 Max Prime673 words
HarborTech Services (HTS) – LBO Underwriting Memo Entry & Capital Structure Item Amount FY2025 EBITDA $120.0m Entry Multiple 12.0x Enterprise Value $1,440.0m Transaction Fees (2.0% of EV) $28.8m Total Uses $1,468.8m Term Loan (4.0x, 9.0% cash, 1.0% amort) $480.0m Mezzanine (1.5x, 12.0% cash + 2.0% PIK) $180.0m Sponsor…
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Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

DeepSeek V4 Flash967 words
This is a fantastic goal. The key for a beginner is consistency over intensity. Trying to overhaul your entire life overnight is a recipe for burnout. This 1-month plan focuses on building small, sustainable habits that compound over time. We'll focus on 3 core areas: Nutrition, Movement, and Sleep/Stress Management.
Read the full answer
Qwen3.8 Max Prime473 words
Your 1-Month Foundation Plan A simple, progressive plan built on three pillars. Each week, you add one small layer. No perfection required—just consistency. 🏃 Pillar 1: Movement Why: Even modest activity reduces all-cause mortality risk and improves mood, sleep, and energy within days.
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Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

DeepSeek V4 Flash618 words
Based on the pitch deck summary, three claims stand out as particularly weak due to lack of specificity, unrealistic benchmarks, or unverifiable assertions. Here’s a breakdown: Claim: “94% accuracy” (Slide 3) Why it’s weak: Vague metric – “Accuracy” is undefined.
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Qwen3.8 Max Prime834 words
The 3 Weakest Claims in the MindMeld AI Pitch The TAM Calculation (Slide 4) The Claim: "We're targeting the 3.5 billion smartphone users worldwide. TAM: $180B." Why it's weak: This is a textbook example of TAM inflation that will immediately erode investor trust.
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

DeepSeek V4 Flash1,987 words
If the transistor had been invented in 1920—a full 27 years earlier—its impact would ripple through every layer of technology, economics, and geopolitics, fundamentally reshaping the 20th century. Below is a detailed tracing of first-, second-, and third-order effects through 1980, organized by domain.
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Qwen3.8 Max Prime2,943 words
The Transistor in 1920: A Counterfactual History Through 1980 Preamble: The Invention Itself The transistor's actual invention required quantum mechanical understanding of semiconductor behavior. In 1920, this theory didn't yet exist.
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Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

DeepSeek V4 Flash1,120 words
To an experienced software engineer (skeptical of "next word prediction") Think of a large language model not as a brain, but as a massive, shared cache of probabilistic completions built from trillions of examples.
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Qwen3.8 Max Prime1,147 words
For the Software Engineer Think of it this way: you've built systems where simple rules at the node level produce emergent behavior at the system level — consensus protocols, eventual consistency, cellular automata-like patterns in distributed state machines. An LLM is a similar phenomenon at a different scale.
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

DeepSeek V4 Flash1,455 words
Here is a conceptual recipe for a three-Michelin-star-level dish that deconstructs a classic pairing into something utterly unexpected, using advanced techniques and a narrative of geological wonder.
Read the full answer
Qwen3.8 Max Prime1,844 words
"Petrichor" The Forest Floor After Rain Conceptual Narrative Petrichor — from the Greek petra (stone) and ichor (the fluid that flows in the veins of the gods) — is the scent produced when rain falls on dry earth.
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Our Verdict
DeepSeek V4 Flash
DeepSeek V4 Flash
Qwen3.8 Max Prime
Qwen3.8 Max Prime

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

DeepSeek V4 Flash costs 43x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V4 Flash
Input
$0.14
29× cheaper
Output
$0.28
43× cheaper
Qwen3.8 Max Prime
Input
$4.00
Output
$12.00

DeepSeek V4 Flash is cheaper on both: 29× input, 43× output.

Where to run it

17 hosts, cheapest first

DeepSeek V4 Flash16 hosts
HostInOutContextUptime
RRelacefp4$0.03 in·$1.28 out·1M·99.9% upBaidu Qianfanfp8$0.05 in·$0.10 out·1M·99.7% upSStreamLakefp8$0.05 in·$0.10 out·1M·97% upDDeepInfrafp8$0.09 in·$0.18 out·1M·99.5% upGGMI Cloudfp8$0.09 in·$0.18 out·1M·99.8% upVVenice$0.10 in·$0.19 out·1M·99.3% up
10 more hostsFewer hosts
DDigitalOcean$0.10 in·$0.20 out·1M·100% upSSiliconFlowfp8$0.13 in·$0.28 out·1M·98.1% upAlibaba Cloudfp8$0.13 in·$0.27 out·1M·99.1% upAAtlasCloudfp4$0.14 in·$0.28 out·1M·98.9% upNNovitafp8$0.14 in·$0.28 out·1M·100% upPParasailfp8$0.14 in·$0.28 out·1M·99.7% upOOpenInferencefp8$0.14 in·$0.70 out·1M·98.7% upNNextBitfp8$0.15 in·$0.30 out·1M·99.9% upMMancerfp8$0.19 in·$0.50 out·1M·98.8% upAzure AI Foundrydegraded$0.21 in·$0.56 out·1M·91.4% up
Qwen3.8 Max Prime1 host
HostInOutContextUptime
Alibaba Cloud$4.00 in·$12.00 out·1M·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

DeepSeek V4 Flash is developed by DeepSeek while Qwen3.8 Max Prime is developed by Qwen. DeepSeek V4 Flash has a 1.0M token context window vs Qwen3.8 Max Prime's 1.0M. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V4 Flash and Qwen3.8 Max Prime each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 19 challenges so you can judge which fits your needs best.

DeepSeek V4 Flash costs $0.14/M input tokens and Qwen3.8 Max Prime costs $4/M input tokens. DeepSeek V4 Flash is $3.86/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of DeepSeek V4 Flash and Qwen3.8 Max Prime 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.

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Model pages

DeepSeek V4 Flash logo
DeepSeek V4 Flash58 outputs, specs and price
Qwen3.8 Max Prime logo
Qwen3.8 Max Prime19 outputs, specs and price
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