Qwen 3.8 Max
Qwen 3.8 Max is a 2.4-trillion-parameter MoE model delivering a comprehensive leap in coding and professional work.
text + image → text · made by Alibaba
Sold by 15 ways
| Seller | Lane | Rate |
|---|---|---|
| DigitalOcean cloud | standard | $2per Mtok in$6per Mtok out$0.2per Mtok cachedmodels.dev · read 2026-09-16 |
| Nous Research 0 ways | $1.6per Mtok in$4.8per Mtok out$0.2per Mtok cached$2per Mtok cache write | |
| Nous Research aggregatornot on the seller's list today | standard | $1.6per Mtok in$4.8per Mtok out$0.2per Mtok cached$2per Mtok cache writeinference-api.nousresearch.com · read 2026-08-25 |
| DeepInfra aggregator | standard | $1.65per Mtok in$4.95per Mtok outapi.deepinfra.com · read 2026-08-25 |
| ElectronHub aggregator | standard | $2per Mtok in$6per Mtok outapi.electronhub.ai · read 2026-09-16 |
| Fireworks AI 2 ways | $2per Mtok in$6per Mtok out$0.25per Mtok cached | |
| Fireworks AI aggregator | standard | $2per Mtok in$6per Mtok out$0.25per Mtok cacheddocs.fireworks.ai · read 2026-08-24 |
| Fireworks AI aggregator | priority | $3per Mtok in$9per Mtok out$0.38per Mtok cachedraw.githubusercontent.com · read 2026-09-16 |
| Novita AI aggregator | standard | $2per Mtok in$6per Mtok out$0.25per Mtok cachedapi.novita.ai · read 2026-08-25 |
| OpenRouter 0 ways | $2per Mtok in$6per Mtok out$0.25per Mtok cached$2.5per Mtok cache write | |
| OpenRouter aggregatornot on the seller's list today | standard | $2per Mtok in$6per Mtok out$0.25per Mtok cached$2.5per Mtok cache writeopenrouter.ai · read 2026-08-24 |
| Requesty 3 ways | $2per Mtok in$6per Mtok out$0.25per Mtok cached | |
| Requesty aggregator | alibaba | $2per Mtok in$6per Mtok out$0.25per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Requesty aggregator | fireworks | $2per Mtok in$6per Mtok out$0.25per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Requesty aggregator | novita | $2per Mtok in$6per Mtok out$0.25per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Vercel AI Gateway aggregator | standard | $2per Mtok in$6per Mtok out$0.25per Mtok cached$2.5per Mtok cache writevercel.com · read 2026-08-25 |
| Vercel AI Gateway aggregatornot on the seller's list today | sandbox | $2per Mtok in$6per Mtok outvercel.com · read 2026-08-25 |
| Venice AI aggregator | standard | $2.5per Mtok in$7.5per Mtok out$0.31per Mtok cached$3.12per Mtok cache writemodels.dev · read 2026-09-16 |
| PPIO aggregator | standard | $12per Mtok in$36per Mtok outapi.ppinfra.com · read 2026-09-16 |
Measured 24 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 1stof 28 | τ³-Banking Leaderboard | Pass^1 | 55.2 |
| 2ndof 152 | LMArena · Vision | Score (Elo) (max) | 1302 |
| 5thof 143 | Artificial Analysis · Agentic Index | Index | 56.1 |
| 5thof 121 | Webdev arena — Epoch AI | Arena Score | 1668.94 |
| 6thof 128 | LMArena · WebDev | Score (Elo) (max) | 1671 |
| 7thof 9 | Frontierswe — Epoch AI | Score (xhigh) | 15.809 |
| 10thof 127 | Mystery game puzzles — Epoch AI | mean_score (xhigh) | 38 |
| 10thof 290 | OTIS Mock AIME 2024-2025 | mean_score (xhigh) | 99.444 |
| 11thof 39 | Gdp pdf — Epoch AI | GDP.pdf score (xhigh) | 0.232 |
| 12thof 64 | Proofbench — Epoch AI | Accuracy | 58 |
| 13thof 106 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (xhigh) | 74.737 |
| 16thof 184 | Artificial Analysis · Coding Index | Index | 76.2 |
| 17thof 302 | Artificial Analysis · Intelligence Index | Artificial Analysis Intelligence Index | 45 |
| 20thof 62 | Frontiermath tier 4 v2 — Epoch AI | mean_score (xhigh) | 46.341 |
| 20thof 313 | GPQA Diamond | mean_score (xhigh) | 92.677 |
| 22ndof 161 | Dtbench — Epoch AI | Accuracy (xhigh) | 92 |
| 22ndof 402 | LMArena · Text | Score (Elo) (max) | 1481 |
| 22ndof 123 | Lmca — Epoch AI | Score (xhigh) | 46.24 |
| 32ndof 80 | Simpleqa verified — Epoch AI | mean_score (xhigh) | 45.8 |
| 35thof 177 | Critpt — Epoch AI | Accuracy | 20 |
| 36thof 69 | Deepswe — Epoch AI | Pass@1 (xhigh) | 0.575 |
| 46thof 168 | Scicode — Epoch AI | Score | 52.894 |
| 50thof 222 | Chess puzzles — Epoch AI | mean_score (xhigh) | 29 |
| 82ndof 656 | Epoch capabilities index — Epoch AI | ECI Score (xhigh) | 156.61 |
About
Qwen 3.8 Max — a text model from Alibaba, sold by 9 companies from $1.65 in and $4.95 out per million tokens, placed 1st of 28 on τ³-Banking Leaderboard.
It takes text and images and returns text, with a context window of 1,000,000 tokens. It was published in July 2026. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning, code and agents. Nine companies sell it. The cheapest is $1.65 in and $4.95 out per million tokens at DeepInfra. Beside the standard rate there are faster and separately routed lanes. It has been measured on 24 boards, and stands best at 1st of 28 on τ³-Banking Leaderboard.
Every current figure
- Maker
- Alibaba
- Register
- model
- Takes
- text + image
- Returns
- text
- Context
- 1,000,000 tokens
- Longest answer
- 131,072 tokens
- Published
- July 2026
- Licence
- not read
- Sellers
- 9
- Maker's own price
- not read
- Price
- $1.65 in and $4.95 out per million tokens — DeepInfra
- Boards
- 24
- Best place
- 1st of 28 — τ³-Banking Leaderboard
Known as 9 names
Qwen3.8 MaxQwen3.8 Max (xhigh)qwen3.8-max_xhighqwen3.8-maxQwen/Qwen3.8-Maxfireworks/qwen3p8-maxalibaba/qwen3.8-maxfireworks/qwen3.8-maxnovita/qwen/qwen3.8-max