Qwen3 32B qwen3-32b

qwen · qwen hybrid-reasoning

unranked — no quality signals yet

params
32.8B
arch
dense
context
128k
license
apache-2.0 open weights
released
Apr 2025
reasoning
yes

# architecture

attn shared · reasoning GQA 64q/8kv feed-forward (dense) every parameter, every token out ×64 layers ctx 131,072 32.8B — no routing
layers
64
d_model
5120
heads
64q / 8kv
head dim
128
vocab
151936
family
qwen3

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 28.3 ● 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 28.3

benchmark panel evidence:

complete panelscore (0–100)
aider-polyglot-v130.1
aime-2025-v126.5

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

Coding: provisional — score 36.4 ● 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_coding 0.30 —
aider_polyglot 0.30 36.4
swe_bench_verified 0.40 —

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

full methodology

# trend

OGM score · last 106 days
OGM score over 106 days

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

# benchmarks

benchmarkscoresourcedate
Aider Polyglot 40.0 Aider May 2025
Aider 0.5 / 1 LLM Stats —
AIME 2024 0.8 / 1 LLM Stats —
AIME 2025 0.7 / 1 LLM Stats —
Arena-hard 0.9 / 1 LLM Stats —
Bfcl 0.7 / 1 LLM Stats —
Codeforces 0.7 / 3000 LLM Stats —

# where to run

providerquantctx$/M in$/M out$/M cacheprice srctpsuptime✓
Featherless — ——— via hfrouter — —
OVHcloud 32k $0.08$0.23— via litellm — —
Nscale 40k $0.08$0.25— via hfrouter 46 —
DeepInfrafp8 40k $0.08$0.28— deepinfra — 98.4% ✓
Amazon Bedrock — $0.07$0.30— bedrock — — ✓
Nebius 125k $0.10$0.30$0.10 via requesty — —
Chutesfp8 40k $0.10$0.42— chutes — — ✓
Tenstorrentfp8 20k $0.14$0.40$0.09 via openrouter — 99.9%
Phala 40k $0.12$0.50— phala — — ✓
SiliconFlowfp8 128k $0.14$0.57— openrouter — 96.5% ✓
Bedrock Mantle 32k $0.15$0.60— via litellm — —
Alibaba 128k $0.70$2.80— via modelsdev — —

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
qwen3-32b
aider
Qwen3 32B
arena
Qwen3-32B
openrouter
qwen/qwen3-32b