Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed
  1. Home
  2. /
  3. Compare
  4. /
  5. GPT OSS 120BvsMiMo-V2.6-Flash
Updated Sep 2026

GPT OSS 120BvsMiMo-V2.6-Flash

MiMo-V2.6-Flash is cheaper than GPT OSS 120B at $0.14/M vs $0.18/M input tokens.

GPT OSS 120B and MiMo-V2.6-Flash compared across 3 shared prompts
SpecGPT OSS 120BMiMo-V2.6-Flash
Input price$0.18/M tokens$0.14/M tokens
Output price$0.8/M tokens$0.28/M tokens
Context window131K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedAug 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 2 of the 3 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…
Read the full answer
MiMo-V2.6-Flash199 words
🍯 Golden Honey-Pepper Skillet Pasta A warm, savory-sweet pasta that tastes like comfort in a bowl. 7 Pantry Ingredients: Pasta (spaghetti or penne) Olive oil (or butter) Garlic Honey Soy sauce Red pepper flakes Salt & pepper (counted as one pantry staple) ⏱️ Times Prep Time 5 minutes Cook Time 12 minutes Total ~17…
Read the full answer

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.
Read the full answer
MiMo-V2.6-Flash1,411 words
How LLMs Learn and Generate Text — Three Audience-Specific Explanations For the Experienced Software Engineer Think of it as an absurdly deep cache with no eviction policy.
Read the full answer
Our Verdict
GPT OSS 120B
GPT OSS 120B
MiMo-V2.6-Flash
MiMo-V2.6-Flash

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

Too close to call
API pricing

Cost per 1M tokens

GPT OSS 120B
Input
$0.18
Output
$0.80
MiMo-V2.6-Flash
Input
$0.14
1.3× cheaper
Output
$0.28
2.9× cheaper

MiMo-V2.6-Flash is cheaper on both: 1.3× input, 2.9× output.

Where to run it

21 hosts, cheapest first

GPT OSS 120B20 hosts
HostInOutContextUptime
AAkashMLbf16$0.03 in·$0.17 out·131k·99.9% 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·99.7% upCCrusoebf16$0.05 in·$0.25 out·131k·98.6% upDDigitalOcean$0.06 in·$0.42 out·128k·100% up
14 more hostsFewer hosts
Google Vertex AI$0.09 in·$0.36 out·131k·94.9% upBBasetenfp4$0.10 in·$0.50 out·128k·99.9% upPParasailfp4$0.10 in·$0.75 out·131k·100% upAmazon Bedrock$0.15 in·$0.60 out·131k·100% upGroq$0.15 in·$0.60 out·131k·100% upNNebiusfp4$0.15 in·$0.60 out·131k·98.7% upTTogether$0.15 in·$0.60 out·131k·96.7% upCCerebrasfp16$0.35 in·$0.75 out·131k·100% upNNovitafp4degraded$0.05 in·$0.25 out·131k·80.4% upMMancerfp8degraded$0.05 in·$0.30 out·131k·98% upSSambaNovadegraded$0.14 in·$0.95 out·131k·96.9% upPPhaladegraded$0.15 in·$0.60 out·131k·75.6% upSSiliconFlowfp8degraded$0.15 in·$0.60 out·131k·83.3% upMMaradegraded$0.15 in·$0.75 out·131k·84.4% up
MiMo-V2.6-Flash1 host
HostInOutContextUptime
Xiaomifp8$0.14 in·$0.28 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 MiMo-V2.6-Flash is developed by Xiaomi. GPT OSS 120B has a 131K token context window vs MiMo-V2.6-Flash's 1.0M. You can compare their actual outputs across 3 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT OSS 120B and MiMo-V2.6-Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 3 challenges so you can judge which fits your needs best.

GPT OSS 120B costs $0.18/M input tokens and MiMo-V2.6-Flash costs $0.14/M input tokens. MiMo-V2.6-Flash is $0.04/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 MiMo-V2.6-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.

Keep exploring

More comparisons

Against the newest arrivals

GPT OSS 120B logoDeepSeek V4 Flash Vision Exp logo
GPT OSS 120B vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
MiMo-V2.6-Flash logoSolar Pro 4 logo
MiMo-V2.6-Flash vs Solar Pro 4Landed Sep 2026
GPT OSS 120B logoHy3 logo
GPT OSS 120B vs Hy3Landed Sep 2026
MiMo-V2.6-Flash logoQwen3.7 Flash logo
MiMo-V2.6-Flash vs Qwen3.7 FlashLanded Sep 2026
GPT OSS 120B logoLing 3.0 Flash logo
GPT OSS 120B vs Ling 3.0 FlashLanded Sep 2026
MiMo-V2.6-Flash logoMuse Glimmer 30B logo
MiMo-V2.6-Flash vs Muse Glimmer 30BLanded Sep 2026
GPT OSS 120B logoGLM 5.3 logo
GPT OSS 120B vs GLM 5.3Landed Sep 2026
MiMo-V2.6-Flash logoTernary Bonsai 2 27B logo
MiMo-V2.6-Flash vs Ternary Bonsai 2 27BLanded Sep 2026

Same lab, same size, long tail

GPT OSS 120B logoGPT OSS 20B logo
GPT OSS 120B vs GPT OSS 20BVersion compare
GPT OSS 120B logoGPT-6 Astra Pro logo
GPT OSS 120B vs GPT-6 Astra ProSame lab
MiMo-V2.6-Flash logoMiMo-V2.6-Pro logo
MiMo-V2.6-Flash vs MiMo-V2.6-ProSame lab
MiMo-V2.6-Flash logoMiMo-V2.5 logo
MiMo-V2.6-Flash vs MiMo-V2.5Same lab
MiMo-V2.6-Flash logoMiniMax M2 logo
MiMo-V2.6-Flash vs MiniMax M2New provider
GPT OSS 120B logoMiniMax M2-her logo
GPT OSS 120B vs MiniMax M2-herNew provider
MiMo-V2.6-Flash logoMiniMax M2.1 logo
MiMo-V2.6-Flash vs MiniMax M2.1Same size
MiMo-V2.6-Flash logoMiniMax M2.5 logo
MiMo-V2.6-Flash vs MiniMax M2.5Same size

Model pages

GPT OSS 120B logo
GPT OSS 120B54 outputs, specs and price
MiMo-V2.6-Flash logo
MiMo-V2.6-Flash3 outputs, specs and price
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed