Qwen3.5 122B A10B qwen3.5-122b-a10b

qwen · qwen hybrid-reasoning

unranked — no quality signals yet

params
125B (A10B)
arch
moe
context
256k
license
apache-2.0 open weights
released
Feb 2026
reasoning
yes
downloads/30d
1.0M

# architecture

attn shared · reasoning GQA 32q/2kv router top-8 of 256 expert ×256 expert out ×48 layers ctx 262,144 125B pool · A10B/token
layers
48
d_model
3072
heads
32q / 2kv
head dim
256
experts
top-8 of 256
vocab
248320
family
qwen3_5_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: provisional — score 34.1 ● low — a single signal; treat with caution

provisional: too few independent signals for a numbered position — the score is shown, but this model sorts after every ranked model.

signalweightinput (0–100)
aa_intelligence 0.70 —
bench_composite 0.30 34.1

benchmark panel evidence:

complete panelscore (0–100)
browsecomp-v134.1

missing signals are dropped and the remaining weights renormalized — never imputed.

full methodology

# trend

OGM score · last 112 days
OGM score over 112 days
overall rank (up is better)
Overall rank over 112 days

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

# benchmarks

benchmarkscoresourcedate
Aa-lcr 0.7 / 1 LLM Stats —
Ai2d 0.9 / 1 LLM Stats —
Androidworld-sr 0.7 / 1 LLM Stats —
Babyvision 0.4 / 1 LLM Stats —
Bfcl-v4 0.7 / 1 LLM Stats —
Browsecomp 0.6 / 1 LLM Stats —
Browsecomp-zh 0.7 / 1 LLM Stats —
C-eval 0.9 / 1 LLM Stats —
Cc-ocr 0.8 / 1 LLM Stats —
Charxiv-r 0.8 / 1 LLM Stats —
Codeforces 0.9 / 3000 LLM Stats —
Countbench 1.0 LLM Stats —

# where to run

providerquantctx$/M in$/M out$/M cacheprice srctpsuptime✓
Aihubmix 256k $0.11$0.90— via litellm — —
Libertai 256k $0.25$1.75— via litellm — —
Alibabaunknown 256k $0.26$2.08— via openrouter — 99.9%
SiliconFlowfp8 256k $0.26$2.08— openrouter — 74.3% ✓
DeepInfra 256k $0.29$2.40— via hfrouter 53 —
AtlasCloudfp8 256k $0.30$2.40— atlascloud — 47.0% ✓
Novitabf16 256k $0.40$3.20— novita — 89.8% ✓

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

source aliases
aa
qwen3.5-122b-a10b
epoch
Qwen3.5-122B-A10B
hf
nvidia/Qwen3.5-122B-A10B-NVFP4
openrouter
qwen/qwen3.5-122b-a10b