MODEL PROOF
Qwen3.6 35B A3B
NOT INDEPENDENTLY RATED
No independent LMArena score is published for this model.
Serving precision differs between offers.
- Independent LMArena score
- Not independently rated
- Context window
- 262.14K
- Maximum output
- 235.93K
- Input modalities
- text, image, video
- Output modalities
- text
- Published input price
- $0.100 / 1M tokens
- Published output price
- $0.900 / 1M tokens
- Pricing kind
- fixed
Inspect complete billing conditions and endpoint terms below.
Price from AkashML: the cheapest offer that is serving, at standard delivery and at a declared precision that is not 4-bit (fp8), at its standard rate. The maker’s own precision is not known.
Cheaper right now: $0.213/M at Darkbloom — 4-bit It does not pass the like-for-like test, so it never sets a rank.
Every price dimension · USD per million tokens
| Input | $0.100/M |
|---|---|
| Output | $0.900/M |
| Cached input | $0.050/M |
| Cache write | Unknown/M |
| Cache write 1h | Unknown/M |
| Reasoning | Unknown/M |
Who sells it
The same weights, different shops. Cheapest is not like-for-like when serving precision differs.
Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.100/M from AkashML.
10 provider offers · rates, limits and conditions
Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test.
| Seller | Input | Output | Precision | Uptime (1d) |
|---|---|---|---|---|
| Darkbloomdarkbloom/fp4 Endpoint terms
| $0.050 | $0.700 | fp4 | 99.83% |
| AkashMLakashml/fp8 Endpoint terms
| $0.100 | $0.900 | fp8 | 99.98% |
| DeepInfradeepinfra/fp8 Endpoint terms
| $0.100 | $0.950 | fp8 | 99.83% |
| Venicevenice/fp8 Endpoint terms
| $0.100 | $1.00 | fp8 | 99.90% |
| DekaLLMdekallm Endpoint terms
| $0.100 | $1.00 | undeclared | 99.70% |
| Parasailparasail/fp8 Endpoint terms
| $0.150 | $1.00 | fp8 | 99.98% |
| AtlasCloudatlas-cloud/fp8 Endpoint terms
| $0.186 | $1.11 | fp8 | 98.43% |
| Phalaphala Endpoint terms
| $0.200 | $1.27 | undeclared | 99.54% |
| SiliconFlowsiliconflow/fp8 Endpoint terms
| $0.240 | $1.80 | fp8 | 98.79% |
| CoreWeavecoreweave/fp8 Endpoint terms
| $0.250 | $1.25 | fp8 | 99.91% |
Independent scores
No independent benchmark has measured this model. Unrated is not a score of zero.
Capability
| Context window | 262K |
|---|---|
| Max output | 235K |
| Input modes | text, image, video |
| Tool use | yes |
| Reasoning | optional |
| Open weights | Unknown |
Provenance
| Price source | openrouter.ai |
|---|---|
| Fetched | 2026-10-06 |
| Quality data | unrated |
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...
Questions this page answers
What does Qwen3.6 35B A3B cost?
$0.100/M in, $0.900/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.
Does Qwen3.6 35B A3B have an independent quality score?
Qwen3.6 35B A3B has no independent quality score in this catalogue. Unrated is not a score of zero.
What beats Qwen3.6 35B A3B?
Qwen3.6 35B A3B has no independent quality score. Unrated is not a score of zero.
Does this page use Artificial Analysis scores for Qwen3.6 35B A3B?
No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated.
Does a missing score mean Qwen3.6 35B A3B scored zero?
Unrated is not a score of zero.
Is the cheapest Qwen3.6 35B A3B endpoint the same product?
Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.100/M from AkashML.
MODEL MONUMENT
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The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not.
[](https://undominated.ai/models/qwen__qwen3.6-35b-a3b/)<a href="https://undominated.ai/models/qwen__qwen3.6-35b-a3b/"><img src="https://undominated.ai/badge/qwen__qwen3.6-35b-a3b.svg" alt="Qwen3.6 35B A3B — Undominated.ai dominance verdict" height="36"></a>Direct file: https://undominated.ai/badge/qwen__qwen3.6-35b-a3b.svg — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never
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