Qwen3-VL-235B-A22B-Instruct qwen3-vl-235b-a22b-instruct

qwen · qwen vision flagship

#73 overall

params
235.7B (A22B)
arch
moe
context
256k
license
apache-2.0 open weights

# architecture

attn shared GQA 64q/4kv router top-8 of 128 expert ×128 expert out ×94 layers ctx 262,144 235.7B pool · A22B/token
layers
94
d_model
4096
heads
64q / 4kv
head dim
128
experts
top-8 of 128
vocab
151936
family
qwen3_vl_moe_text

signal path of one layer, generated from the registry's structured fields — dimension lines quote the model's real numbers; an MoE trace forks at the router, a dense trace runs straight through. Geometry fields come from the repo's config.json.

# why ranked

Overall: #73 — score 32.9 ● high — all signals present

signalweightinput (0–100)
aa_intelligence 0.70 32.9
bench_composite 0.30 32.8

benchmark panel evidence:

complete panelscore (0–100)
aa-math-v134.2
aime-2025-v131.5

full methodology

# trend

OGM score · last 105 days
OGM score over 105 days
overall rank (up is better)
Overall rank over 105 days

methodology changed during this history window; score movement across that boundary is not model movement. See methodology v6.

# benchmarks

benchmarkscoresourcedate
AA Intelligence Index 9.9 Artificial Analysis —
AA Math Index 70.7 Artificial Analysis —
Ai2d 0.9 / 1 LLM Stats —
AIME 2025 0.7 / 1 LLM Stats —
Androidworld-sr 0.6 / 1 LLM Stats —
Arena-hard-v2 0.8 / 1 LLM Stats —
Bfcl-v3 0.7 / 1 LLM Stats —
Blink 0.7 / 1 LLM Stats —
Cc-ocr 0.8 / 1 LLM Stats —
Charadessta 0.6 / 1 LLM Stats —
Charxiv-r 0.6 / 1 LLM Stats —
Docvqatest 1.0 / 1 LLM Stats —
Mm-mt-bench 8.5 LLM Stats —

# where to run

providerquantctx$/M in$/M out$/M cacheprice srctpsuptime✓
DeepInfrafp8 256k $0.20$0.88— deepinfra — 98.6% ✓
Inferenceapis 256k $0.26$1.15— via litellm — —
Amazon Bedrock — $0.26$1.33— bedrock — — ✓
Novita 128k $0.30$1.50— via litellm — —
Parasailfp8 128k $0.21$1.90$0.10 via openrouter — 100.0%
Venicefp8 125k $0.21$1.90— venice — 99.7% ✓
Alibaba 128k $0.40$1.60— via litellm — —
Qwen Ai Platform 128k $0.40$1.60— via litellm — —
Qwencloud 128k $0.40$1.60— via litellm — —
Bedrock Mantle 250k $0.53$2.66— via litellm — —

sorted by blended price ((3·input + output) / 4 per 1M) · ✓ = the provider's own catalog confirms the offer · "via …" prices are what the aggregator routing the offer charges, not the provider's own list price

# variants

Qwen3-VL-235B-A22B-Thinking

source aliases
aa
qwen3-vl-235b-a22b-instruct
bedrock
Qwen3 VL 235B A22B
llmstats
qwen3-vl-235b-a22b-instruct
openrouter
qwen/qwen3-vl-235b-a22b-instruct