Llama 3.1 8B Instruct vs MiMo-V2.5-Pro
Pricing, context window and real answers (September 2026)
Llama 3.1 8B Instruct (Meta) and MiMo-V2.5-Pro (Xiaomi), compared as you can actually call them on FastMetal. Both are served from the same OpenAI-compatible endpoint and API key; switching is a change to the model string.
Specs and pricing
| MiMo-V2.5-Pro | ||
|---|---|---|
| Provider | Meta | Xiaomi |
| Input (per 1M tokens) | ¥8.94 | ¥77.73 |
| Output (per 1M tokens) | ¥14.3 | ¥155.47 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥16 | ¥155 |
| Context window | 131,072 tokens | 1,050,000 tokens |
| Release date | 7/23/2024 | 4/22/2026 |
| Input modalities | text | text |
| Throughput (p50) | — | — |
| Arena · overall | #329 · ELO 1,211 | #44 · ELO 1,467 |
| Arena · Japanese | #243 · ELO 1,087 | #52 · ELO 1,426 |
| Arena · coding | #323 · ELO 1,260 | #25 · ELO 1,521 |
Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.
Which should you pick?
- On price, Llama 3.1 8B Instruct: ¥14.3 per 1M output tokens, 91% less than MiMo-V2.5-Pro.
- On the Overall arena board, MiMo-V2.5-Pro ranks higher (#44; Llama 3.1 8B Instruct is #329).
- On the Japanese arena board, MiMo-V2.5-Pro ranks higher (#52; Llama 3.1 8B Instruct is #243).
- On the Coding arena board, MiMo-V2.5-Pro ranks higher (#25; Llama 3.1 8B Instruct is #323).
- For long documents, MiMo-V2.5-Pro: a 1,050,000-token context window against 131,072 for Llama 3.1 8B Instruct.
- If in doubt, try both on the same key. Switching is a change to the model string, and each is billed at its own rate.
Real answers to the same prompts
Exactly what the FastMetal gateway returned, side by side. Not benchmark scores: actual output.
Count the number of 'r's in 'strawberry'
Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.
Llama 3.1 8B Instruct
MiMo-V2.5-Pro
Debug This Error
I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…
Llama 3.1 8B Instruct
MiMo-V2.5-Pro
Code Review
Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…
Llama 3.1 8B Instruct
MiMo-V2.5-Pro
Frequently asked questions
- Which is cheaper, Llama 3.1 8B Instruct or MiMo-V2.5-Pro?
- Per 1M output tokens, Llama 3.1 8B Instruct is ¥14.3 and MiMo-V2.5-Pro is ¥155.47 on FastMetal (yen, before tax), so Llama 3.1 8B Instruct is cheaper.
- How do the context windows of Llama 3.1 8B Instruct and MiMo-V2.5-Pro compare?
- Llama 3.1 8B Instruct takes 131,072 tokens; MiMo-V2.5-Pro takes 1,050,000.
- Which ranks higher, Llama 3.1 8B Instruct or MiMo-V2.5-Pro?
- MiMo-V2.5-Pro ranks higher on the public arena (Llama 3.1 8B Instruct #243, MiMo-V2.5-Pro #52). Ranks move as the leaderboard updates.
- Can I use Llama 3.1 8B Instruct and MiMo-V2.5-Pro with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "llama-3.1-8b-instruct" or "mimo-v2.5-pro" as the model. Each is billed at its own rate from the same prepaid balance.
Try both on one API key
Create an account and add credit to call Llama 3.1 8B Instruct and MiMo-V2.5-Pro from the browser chat and the API. No monthly fee.