Qwen3 235B A22B Instruct 2507 qwen3-235b-a22b-instruct-2507
qwen · qwen flagship
#59 overall
- params
- 235.1B (A22B)
- arch
- moe
- context
- 256k
- license
- apache-2.0 open weights
- released
- Jul 2025
- train compute
- 4.8e+24 FLOP
# architecture
- layers
- 94
- d_model
- 4096
- heads
- 64q / 4kv
- head dim
- 128
- experts
- top-8 of 128
- vocab
- 151936
- family
- qwen3_moe
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: #59 — score 44.0 ● high — all signals present
| signal | weight | input (0–100) |
|---|---|---|
| aa_intelligence | 0.70 | 45.5 |
| bench_composite | 0.30 | 40.5 |
benchmark panel evidence:
| complete panel | score (0–100) |
|---|---|
| aa-coding-v1 | 35.2 |
| aa-math-v1 | 69.9 |
| aime-2025-v1 | 16.5 |
Coding: provisional — score 25.0 ● 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.
| signal | weight | input (0–100) |
|---|---|---|
| aa_coding | 0.30 | 25.0 |
| aider_polyglot | 0.30 | — |
| swe_bench_verified | 0.40 | — |
missing signals are dropped and the remaining weights renormalized — never imputed.
# trend
methodology changed during this history window; score movement across that boundary is not model movement. See methodology v6.
# benchmarks
| benchmark | score | source | date |
|---|---|---|---|
| AA Coding Index | 22.1 | Artificial Analysis | — |
| AA Intelligence Index | 12.7 | Artificial Analysis | — |
| AA Math Index | 91.0 | Artificial Analysis | — |
| Aider-polyglot | 0.6 / 1 | LLM Stats | — |
| AIME 2025 | 0.7 / 1 | LLM Stats | — |
| Arc-agi | 0.4 / 1 | LLM Stats | — |
| Arena-hard-v2 | 0.8 / 1 | LLM Stats | — |
| Bfcl-v3 | 0.7 / 1 | LLM Stats | — |
# where to run
| provider | quant | ctx | $/M in | $/M out | $/M cache | price src | tps | uptime | ✓ |
|---|---|---|---|---|---|---|---|---|---|
| Nebius | — | — | — | — | nebius | — | — | ✓ | |
| GMICloud | fp8 | 256k | $0.09 | $0.35 | $0.02 | via openrouter | — | — | |
| DeepInfra | fp8 | 256k | $0.09 | $0.55 | — | deepinfra | — | 98.7% | ✓ |
| Novita | 128k | $0.09 | $0.58 | — | via litellm | — | — | ||
| Venice | fp8 | 125k | $0.15 | $0.75 | — | venice | — | 99.5% | ✓ |
| Nscale | 32k | $0.20 | $0.60 | — | via hfrouter | 15 | — | ||
| Parasail | fp8 | 128k | $0.14 | $0.80 | $0.05 | via openrouter | — | 100.0% | |
| Amazon Bedrock | — | $0.22 | $0.88 | — | bedrock | — | — | ✓ | |
| unknown | 256k | $0.22 | $0.88 | — | via openrouter | — | — | ||
| unknown | 256k | $0.25 | $1.00 | — | via openrouter | — | — | ||
| Replicate | — | $0.26 | $1.06 | — | via litellm | — | — | ||
| Scaleway | — | $0.85 | $2.56 | — | via hfrouter | 90 | — | ||
| Crusoe | 256k | $3.00 | $3.00 | — | 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
source aliases
- aa
qwen3-235b-a22b-instruct-2507- bedrock
Qwen3 235B A22B 2507- epoch
Qwen3-235B-A22B (Jul 2025)- llmstats
qwen3-235b-a22b-instruct-2507- openrouter
qwen/qwen3-235b-a22b-2507