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  5. GPT OSS 120BvsQwen3.7 Flash
Updated Jul 2026

GPT OSS 120BvsQwen3.7 Flash

Qwen3.7 Flash is cheaper than GPT OSS 120B at $0.03/M vs $0.18/M input tokens.

GPT OSS 120B and Qwen3.7 Flash compared across 13 shared prompts
SpecGPT OSS 120BQwen3.7 Flash
Input price$0.18/M tokens$0.03/M tokens
Output price$0.8/M tokens$0.13/M tokens
Context window131K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedAug 2025Jul 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 13 prompts both answered. Formatting stripped, words untouched.

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

GPT OSS 120B373 words
Recipe: “Golden Crunchy Chick‑a‑Boom Bites” A quick, crunchy‑savory snack that’s ready in under 20 minutes – perfect for a snack, side, or salad topper. Ingredients (7 pantry staples) # Ingredient Quantity 1 Canned chickpeas (drained & rinsed) 1 ½ cups (≈1 ½ cans) 2 Olive oil (or any neutral oil) 2 Tbsp 3 Garlic powder…
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Qwen3.7 Flash332 words
🥔 Golden Crunch Smash-Roasted Potatoes A crowd-pleasing side dish that delivers maximum crispiness with minimal effort. By boiling then smashing the potatoes before roasting, you create a shatteringly crisp crust while keeping the inside fluffy. This recipe relies on just seven pantry staples for perfect flavor.
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Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

GPT OSS 120B1,801 words
Below is a clause‑by‑clause risk analysis of the agreement you posted, followed by concrete, contractor‑friendly rewrite suggestions and the legal rationale behind each change. The goal is to bring the contract into a more balanced, commercially reasonable state while preserving the client’s legitimate interests.
Read the full answer
Qwen3.7 Flash1,322 words
This agreement contains several highly one-sided provisions that create significant legal, financial, and operational risks for the contractor. Below is a clause-by-clause analysis identifying exploitation risks, recommended modifications, and the underlying legal reasoning. Note: Contract law varies by jurisdiction.
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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…

GPT OSS 120B823 words
1‑Month “Kick‑Start” Plan for Health & Longevity Focus areas: Diet, Exercise, Sleep (stress‑management tips woven in) How to Use This Plan What When How Read the weekly overview first. Day 1 of each week Set a tiny, measurable goal (e.g., “walk 10 min after dinner”).
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Qwen3.7 Flash763 words
🌱 30-Day Health & Longevity Starter Plan This plan focuses on the three most evidence-backed pillars of longevity: Nutrition, Movement, and Sleep/Recovery. It’s designed for beginners: low barrier to entry, zero equipment required, and built on consistency over intensity. You’ll progress gradually so habits stick.
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

GPT OSS 120B2,328 words
Executive Summary The situation is a classic “patient‑safety‑first” crisis. The drug generates $2 B in revenue, but a life‑threatening adverse event (1 / 8 000 over 5 y) has been identified that was not disclosed in the label.
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Qwen3.7 Flash1,240 words
This is a high-stakes crisis requiring decisive, legally compliant, ethically grounded, and strategically coordinated action. Below is a structured, hour-by-hour executive playbook for the next 48 hours, followed by cross-cutting rationale addressing your specified dimensions.
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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…

GPT OSS 120B821 words
1. The Software Engineer (API‑first, Distributed‑Systems Mindset) Think of a large language model (LLM) as a stateless microservice that receives a stream of tokens (the smallest lexical units) and returns a probability distribution over the next token.
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Qwen3.7 Flash1,038 words
For the Experienced Software Engineer Think of an LLM’s training process less as “teaching” and more as optimizing a high-dimensional function across a petabyte-scale dataset, much like you’d architect a distributed system to handle massive throughput.
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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…

GPT OSS 120B2,554 words
Executive Summary If a practical solid‑state transistor had been demonstrated in 1920 – twenty‑seven years before the Bell‑Labs breakthrough – the whole post‑World‑War‑I world would have been reshaped.
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Qwen3.7 Flash1,381 words
This counterfactual traces a plausible diffusion curve for an early transistor invention, acknowledging that while the underlying physics could be known in 1920, practical adoption would be constrained by materials science, precision manufacturing, and institutional readiness.
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Our Verdict
GPT OSS 120B
GPT OSS 120B
Qwen3.7 Flash
Qwen3.7 Flash

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

Qwen3.7 Flash costs 6.2x less per token.

Too close to call
API pricing

Cost per 1M tokens

GPT OSS 120B
Input
$0.18
Output
$0.80
Qwen3.7 Flash
Input
$0.03
6.0× cheaper
Output
$0.13
6.2× cheaper

Qwen3.7 Flash is cheaper on both: 6.0× input, 6.2× output.

Where to run it

21 hosts, cheapest first

GPT OSS 120B20 hosts
HostInOutContextUptime
AAkashMLbf16$0.03 in·$0.17 out·131k·100% upCCoreWeavefp4$0.03 in·$0.17 out·131k·99.9% upDDekaLLMbf16$0.03 in·$0.18 out·131k·99.7% upDDeepInfrabf16$0.04 in·$0.17 out·131k·99.3% upCCrusoebf16$0.05 in·$0.25 out·131k·98.7% upMMancerfp8$0.05 in·$0.30 out·131k·97.6% up
14 more hostsFewer hosts
DDigitalOcean$0.06 in·$0.42 out·128k·100% upBBasetenfp4$0.10 in·$0.50 out·128k·99.9% upSSambaNova$0.14 in·$0.95 out·131k·97.2% upAmazon Bedrock$0.15 in·$0.60 out·131k·87.3% upGroq$0.15 in·$0.60 out·131k·100% upNNebiusfp4$0.15 in·$0.60 out·131k·98% upCCerebrasfp16$0.35 in·$0.75 out·131k·100% upNNovitafp4degraded$0.05 in·$0.25 out·131k·70.1% upGoogle Vertex AIdegraded$0.09 in·$0.36 out·131k·94.1% upPParasailfp4degraded$0.10 in·$0.75 out·131k·97.6% upPPhaladegraded$0.15 in·$0.60 out·131k·68.6% upSSiliconFlowfp8degraded$0.15 in·$0.60 out·131k·57.6% upTTogetherdegraded$0.15 in·$0.60 out·131k·93.3% upMMaradegraded$0.15 in·$0.75 out·131k·80.7% up
Qwen3.7 Flash1 host
HostInOutContextUptime
Alibaba Cloud$0.03 in·$0.13 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GPT OSS 120B is developed by OpenAI while Qwen3.7 Flash is developed by Qwen. GPT OSS 120B has a 131K token context window vs Qwen3.7 Flash's 1.0M. You can compare their actual outputs across 13 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT OSS 120B and Qwen3.7 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 13 challenges so you can judge which fits your needs best.

GPT OSS 120B costs $0.18/M input tokens and Qwen3.7 Flash costs $0.03/M input tokens. Qwen3.7 Flash is $0.15/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 GPT OSS 120B and Qwen3.7 Flash 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

GPT OSS 120B logo
GPT OSS 120B54 outputs, specs and price
Qwen3.7 Flash logo
Qwen3.7 Flash13 outputs, specs and price
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