UABUnbiased AI BenchGlass box for model evals.
Every leaderboard, with receipts.
Home/Models/Qwen3-Coder 480B A35B
Qwen3-Coder 480B A35B
Live · updated continuously
Models · /models/qwen3-coder-480b-a35b

Qwen3-Coder 480B A35B

Qwen · Open weights · mid · registry tag 2026 open agentic coding
codetext6 aliases6 official receipts
Open compare
Last verified · May 1, 2026
Visible coverage · 13.6%
Verified coverage · 13.6%
Benchmark fit · 35.8%
Benchmark spread · 44.6%
Build / data stamp

Read this before trusting a headline.

Data snapshot May 1, 2026Registry verification passed9 providers · 826 tracked modelsPage refreshed May 7, 2026

Model pages expose the current registry snapshot and page stamp so stale deployments are visible without reading the code.

Score passport by benchmark

Each row keeps the benchmark receipt, source family, raw metric, and percentile inside its exact comparable group.

Thin verified coverageThis model currently reads as thin verified coverage across the resolved evidence surface.
Intelligence Index
AA · Chat / text · Composite
It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.
56.9% percentile inside its comparable group
25Raw benchmark value
Time to first token
AA · Chat / text · Speed / cost
It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.
28.5% percentile inside its comparable group
2.95sRaw benchmark value
Text Arena
AR · Chat / text · Human
It tests whether the model is actually useful in normal conversational turns, not just on narrow correctness tasks.
62% percentile inside its comparable group
1,356Raw benchmark value
Code Arena
AR · Coding · Human
It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.
25% percentile inside its comparable group
1,281Raw benchmark value
WebDev Arena
AR · Coding · Human
It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.
25% percentile inside its comparable group
1,281Raw benchmark value
Terminal-Bench 2.0
TERMINAL-BENCH · Coding · Objective
It tells you whether the model can generate, repair, and reason over code under evaluator pressure rather than marketing examples.
17.4% percentile inside its comparable group
25.4%Raw benchmark value

Receipts and registry checks

official
Qwen3-Coder announcement

May 1, 2026

source →
official
Terminal-Bench

May 1, 2026

source →
official
Artificial Analysis

May 1, 2026

source →
official
Arena

May 1, 2026

source →
official
Arena

May 1, 2026

source →
official
Arena

May 1, 2026

source →