Qwen3.5 9B qwen3.5-9b
qwen · qwen efficient
#34 overall
- params
- 9.7B
- arch
- dense
- context
- 256k
- license
- apache-2.0 open weights
- released
- Feb 2026
- reasoning
- yes
- downloads/30d
- 8.4M
# why ranked
Overall: #34 — score 18.6 ● medium — one signal missing, weights renormalized
| signal | weight | input (0–100) |
|---|---|---|
| aa_intelligence | 0.50 | 21.4 |
| arena_elo | 0.30 | — |
| bench_composite | 0.20 | 11.5 |
missing signals are dropped and the remaining weights renormalized — never imputed.
Coding: provisional — score 27.6 ● 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 | 0.25 | 27.6 |
| aider_polyglot | 0.25 | — |
| arena_elo_code | 0.15 | — |
| swe_bench_verified | 0.35 | — |
missing signals are dropped and the remaining weights renormalized — never imputed.
# trend
collecting history — trends appear after a few daily runs.
# benchmarks
| benchmark | score | source | date |
|---|---|---|---|
| AA Coding Index | 28.7 | Artificial Analysis | — |
| AA Intelligence Index | 21.4 | Artificial Analysis | — |
| Aa-lcr | 0.6 / 1 | LLM Stats | — |
| Bfcl-v4 | 0.7 / 1 | LLM Stats | — |
| C-eval | 0.9 / 1 | LLM Stats | — |
| Deep-planning | 0.2 / 1 | LLM Stats | — |
# where to run
| provider | quant | ctx | $/M in | $/M out | $/M blend | tps | uptime |
|---|---|---|---|---|---|---|---|
| DeepInfra | bf16 | 256k | $0.10 | $0.15 | $0.11 | — | 99.5% |
| SiliconFlow | fp8 | 256k | $0.10 | $0.15 | $0.11 | — | 99.6% |
| Venice | fp8 | 250k | $0.10 | $0.15 | $0.11 | — | 99.6% |
| Together | unknown | 256k | $0.17 | $0.25 | $0.19 | — | 99.9% |
blended = (3·input + output) / 4 per 1M tokens · cheapest first
source aliases
- aa
qwen3.5-9b- openrouter
qwen/qwen3.5-9b