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Models / Alibaba

Qwen: Qwen3.5-35B-A3B

qwen/qwen3.5-35b-a3b

text image videoContext 262K

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...

Price

Input$0.14

per 1M tokens

Output$1

per 1M tokens

Cheaper on DeepInfra (−20.6%) versus the lab price

Compare this model

Providers

Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.

ProviderTagQuant InputOutput ContextUptimeStatusSource
DeepInfra — — $0.14/1M $1/1M 262K — Listed deepinfra
DeepInfra deepinfra/fp8 fp8 $0.14/1M $1/1M 262K 100% Live openrouter-endpoints
Parasail parasail/fp8 fp8 $0.15/1M $1/1M 262K 100% Live openrouter-endpoints
Venice venice — $0.15/1M $1/1M 256K 100% Live openrouter-endpoints
Alibaba alibaba — $0.1625/1M $1.3/1M 262K 100% Live openrouter-endpoints
AtlasCloud — fp8 $0.225/1M $1.8/1M 262K — Listed atlascloud
AtlasCloud atlas-cloud/fp8 fp8 $0.225/1M $1.8/1M 262K 100% Live openrouter-endpoints
SiliconFlow siliconflow/fp8 fp8 $0.24/1M $1.8/1M 262K — Live openrouter-endpoints
Novita — — $0.25/1M $2/1M 262K — Listed novita
Together — — Not published— Not published— 262K — Listed together
Darkbloom darkbloom/fp4 fp4 $0.065/1M $0.75/1M 262K 100% Down openrouter-endpoints

Monthly bill

Token models use the token counts. Image, video, and audio models use units times the flat rate.

$1.14 at list price for this workload

Cache

Cache read$0.05

per 1M tokens

Every rate
UnitInputOutputFlatConfidence
token $0.14/1M $1/1M Not published— official

Price history

Qwen: Qwen3.5-35B-A3B
1.5 0 2026-09-15: $0.16252026-09-16: $0.16252026-09-17: $0.16252026-09-18: $0.16252026-09-19: $0.16252026-09-20: $0.31252026-09-21: $0.31252026-09-22: $0.31252026-09-23: $0.31252026-09-24: $0.31252026-09-25: $0.31252026-09-26: $0.31252026-09-27: $0.31252026-09-28: $0.16252026-09-29: $0.16252026-09-30: $0.16252026-10-01: $0.16252026-10-02: $0.152026-10-03: $0.152026-10-04: $0.152026-10-05: $0.152026-10-06: $0.082026-10-07: $0.152026-10-08: $0.152026-10-09: $0.082026-10-10: $0.082026-10-11: $0.082026-10-12: $0.082026-10-13: $0.152026-10-14: $0.152026-10-15: $0.152026-10-16: $0.152026-10-17: $0.152026-10-18: $0.152026-10-19: $0.152026-10-20: $0.142026-10-21: $0.142026-10-22: $0.142026-10-23: $0.142026-10-24: $0.142026-10-25: $0.142026-10-26: $0.142026-10-27: $0.142026-10-28: $0.142026-10-29: $0.142026-10-30: $0.14 2026-09-15 2026-10-30

input or flat output

Daily snapshots
UTC dateUnitInputOutputFlat
2026-09-15 token $0.1625 $1.3 Not published—
2026-09-16 token $0.1625 $1.3 Not published—
2026-09-17 token $0.1625 $1.3 Not published—
2026-09-18 token $0.1625 $1.3 Not published—
2026-09-19 token $0.1625 $1.3 Not published—
2026-09-20 token $0.3125 $1.25 Not published—
2026-09-21 token $0.3125 $1.25 Not published—
2026-09-22 token $0.3125 $1.25 Not published—
2026-09-23 token $0.3125 $1.25 Not published—
2026-09-24 token $0.3125 $1.25 Not published—
2026-09-25 token $0.3125 $1.25 Not published—
2026-09-26 token $0.3125 $1.25 Not published—
2026-09-27 token $0.3125 $1.25 Not published—
2026-09-28 token $0.1625 $1.3 Not published—
2026-09-29 token $0.1625 $1.3 Not published—
2026-09-30 token $0.1625 $1.3 Not published—
2026-10-01 token $0.1625 $1.3 Not published—
2026-10-02 token $0.15 $1 Not published—
2026-10-03 token $0.15 $1 Not published—
2026-10-04 token $0.15 $1 Not published—
2026-10-05 token $0.15 $1 Not published—
2026-10-06 token $0.08 $0.75 Not published—
2026-10-07 token $0.15 $1 Not published—
2026-10-08 token $0.15 $1 Not published—
2026-10-09 token $0.08 $0.75 Not published—
2026-10-10 token $0.08 $0.75 Not published—
2026-10-11 token $0.08 $0.75 Not published—
2026-10-12 token $0.08 $0.75 Not published—
2026-10-13 token $0.15 $1 Not published—
2026-10-14 token $0.15 $1 Not published—
2026-10-15 token $0.15 $1 Not published—
2026-10-16 token $0.15 $1 Not published—
2026-10-17 token $0.15 $1 Not published—
2026-10-18 token $0.15 $1 Not published—
2026-10-19 token $0.15 $1 Not published—
2026-10-20 token $0.14 $1 Not published—
2026-10-21 token $0.14 $1 Not published—
2026-10-22 token $0.14 $1 Not published—
2026-10-23 token $0.14 $1 Not published—
2026-10-24 token $0.14 $1 Not published—
2026-10-25 token $0.14 $1 Not published—
2026-10-26 token $0.14 $1 Not published—
2026-10-27 token $0.14 $1 Not published—
2026-10-28 token $0.14 $1 Not published—
2026-10-29 token $0.14 $1 Not published—
2026-10-30 token $0.14 $1 Not published—

Alternatives

Parameters (19)
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Call this model

OpenRouter id qwen/qwen3.5-35b-a3b. InferenceList does not send the request.

curl
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3.5-35b-a3b","messages":[{"role":"user","content":"Hello"}]}'

JavaScript
await fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "qwen/qwen3.5-35b-a3b",
    messages: [{ role: "user", content: "Hello" }],
  }),
});

Python
import os, json, urllib.request
req = urllib.request.Request(
    "https://openrouter.ai/api/v1/chat/completions",
    data=json.dumps({"model": "qwen/qwen3.5-35b-a3b", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
    headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())

JSON · History JSON