Alibaba Cloud / Qwen Team model product
Qwen3.5 0.8B
8 billion parameter vision-language model with Gated DeltaNet hybrid architecture, 262K native context length, and thinking and non-thinking modes.
Updated Sep 8, 2026. Default version: Qwen3.5-0.8B
LLMBoard Score0.0Qwen3.5-0.8B
Coverage60%20 benchmark families
Context windowN/ATokens
Official input priceN/AOfficial price unavailable
Qwen3.5 0.8B Capability Profile
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Qwen3.5 0.8B Benchmark Results
Benchmark scores for Qwen3.5-0.8B.
Sort by
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkMAXIFE | Score39.20% | Rank11 | Participants11 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkNOVA-63 | Score42.40% | Rank11 | Participants11 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkGlobal PIQA | Score59.40% | Rank13 | Participants13 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkC-Eval | Score50.50% | Rank17 | Participants18 | Percentile5.88% | EvidenceC | Evaluated |
| BenchmarkLongBench v2 | Score26.10% | Rank17 | Participants17 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkBFCL-V4 | Score25.30% | Rank18 | Participants18 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkAA-LCR | Score4.70% | Rank19 | Participants19 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkPolyMATH | Score8.20% | Rank23 | Participants23 | Percentile0.00% | EvidenceC | Evaluated |
| Benchmarkt2-bench | Score11.60% | Rank23 | Participants23 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkWMT24++ | Score27.20% | Rank23 | Participants23 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkMMLU-ProX | Score34.60% | Rank28 | Participants32 | Percentile12.90% | EvidenceC | Evaluated |
| BenchmarkMulti-Challenge | Score18.90% | Rank28 | Participants29 | Percentile3.57% | EvidenceC | Evaluated |
| BenchmarkInclude | Score40.60% | Rank29 | Participants31 | Percentile6.67% | EvidenceC | Evaluated |
| BenchmarkSuperGPQA | Score21.30% | Rank34 | Participants34 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkIFBench | Score21.00% | Rank39 | Participants39 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkMMLU-Redux | Score59.50% | Rank47 | Participants48 | Percentile2.13% | EvidenceC | Evaluated |
| BenchmarkMMMLU | Score44.30% | Rank49 | Participants49 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkIFEval | Score44.00% | Rank68 | Participants68 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score42.30% | Rank132 | Participants138 | Percentile4.38% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score11.90% | Rank247 | Participants247 | Percentile0.00% | EvidenceC | Evaluated |
Qwen3.5 0.8B Arena Results
Preference and agent-evaluation results for the default version.
No Arena results
The default version does not have a matching Arena result yet.
Qwen3.5 0.8B Pricing
Official vendor API pricing appears first, followed by individual provider offers.
- Official API
- N/A
- Official provider
- N/A
- Lowest third-party
- From $0.06 input, $0.12 output per 1M via NanoGPT
- Tracked offerings
- 2
Sort by
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderQVAC | Provider model IDqwen3.5-0.8b | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context32.8K | Updated |
| ProviderNanoGPT | Provider model IDqwen3.5-0.8b | Regionglobal | Input / 1M$0.06 | Output / 1M$0.12 | Context262.1K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Qwen3.5 0.8B Runtime Performance
Provider-specific output speed and catalog latency for Qwen3.5-0.8B. Runtime does not affect the capability score.
No runtime data
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Qwen3.5 0.8B Specifications
Technical details for the model's default version.
- Version
- Qwen3.5-0.8B
- Released
- Mar 2, 2026
- Knowledge cutoff
- Unknown
- Parameters
- 800M
- Context window
- N/A
- Max output
- N/A
- Inputs
- image, text
- Outputs
- text
- Open weights
- Yes
- License
- Apache 2.0
Qwen3.5 0.8B Versions
Available versions of this model. The score column identifies the version used in the overall ranking.
Sort by
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionQwen3.5-0.8B | Released | LLMBoard0.00 | Parameters800M | ContextN/A | Max outputN/A | Open weightsYes | LicenseApache 2.0 |
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What is Qwen3.5 0.8B?
Key information about Qwen3.5 0.8B and its available data.
8B is a vision-language model using a Gated DeltaNet hybrid architecture with a 3:1 ratio of linear attention to full softmax attention. It supports a 262K native context length and both thinking and non-thinking modes.
Data as of 2026-09-08.
FAQ
Common questions about Qwen3.5 0.8B.
When was Qwen3.5 0.8B released?
Qwen3.5 0.8B's default version was released on Mar 2, 2026.
How much does Qwen3.5 0.8B cost?
No official standard PAYG price is currently available for Qwen3.5 0.8B. The lowest tracked third-party offer starts at $0.06 input and $0.12 output via NanoGPT.
Who created Qwen3.5 0.8B?
Qwen3.5 0.8B was created by Alibaba Cloud / Qwen Team.
What is the context window for Qwen3.5 0.8B?
A context window is not available for the default version.
Is Qwen3.5 0.8B open weight?
Yes. The default version is marked as open weight under Apache 2.0.
How many API providers offer Qwen3.5 0.8B?
2 provider offerings are linked to the default version.