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Qwen · API-only (closed weights)

Qwen 3.8 Max

Qwen 3.8 Max is an API-only (closed weights) language model from Qwen, released July 19, 2026. Its makers disclosed about 2.4T parameters. The context window is 1M tokens. On the Epoch Capabilities Index it scores 157.6, rank 29 of 256 rated models. API price: $2 input / $6 output per million tokens.

Today, we are officially releasing Qwen 3.8-Max, the most capable model in the Qwen family to date. This also marks the first time we will open-source the weights of a Qwen-Max-class model — the open weights will be released next week.

Check it against your own PC →

Lab
Qwen
Released
July 19, 2026
Weights
API-only (closed weights)
Parameters
2.4T disclosed
Context
1M
Price / M tokens
$2 / $6 in / out
Epoch ECI
157.6 #29

Strengths by category

ModelTape's 0–100 fit on Epoch AI benchmark results.

CategoryScoreBased on
Reasoning24.9Chess Puzzles, Mystery Game Puzzles
Math60.4ProofBench, OTIS Mock AIME 2024-2025, FrontierMath-Tiers-1-3-v2-Private, FrontierMath-Tier-4-v2-Private
Coding57.4MirrorCode, FrontierSWE, DeepSWE
Knowledge75.6GPQA diamond, SimpleQA Verified

Benchmark results

Benchmark (Epoch AI)Score
OTIS Mock AIME99.4%
GPQA Diamond94.0%
FrontierMath (Tiers 1–3)78.7%
ProofBench58.0%
DeepSWE57.5%
MirrorCode52.2%
FrontierMath-Tier-4-v2-Private46.3%
SimpleQA Verified45.8%
Chess Puzzles43.2%
Mystery Game Puzzles31.7%
FrontierSWE15.8%

Links

Announcement · Epoch AI benchmarks

Models with a similar score

Kimi K3.1 Pro · GPT-5.6 Terra · Claude Haiku 5.5 · GPT-5.4 Pro · GPT-5.5 · Claude Opus 4.8 · DeepSeek V4.1 Flash 1017 · Gemini 3.8 Flash

More from Qwen

Qwen3.8 Omni Flash · Qwen3.8 Max (0902) · Qwen3.8 Flash · Qwen3.8 Flash Next · Qwen 3.8 27B · Qwen3.8-2.4T-A95B · Qwen3.7 Flash · Qwen3.7-Plus

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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