Taichu AILanguage modelOpen weights
ZDTaichu5.0-9B
ZDTaichu5.0-9B has no overall index value yet because there are too few independent benchmark results.
PopularityRank 345 of 875
36out of 100-8 vs. last month
Summary
ZDTaichu5.0-9B adds a C-RADIOv4-H vision encoder to Qwen3.5-9B. Taichu AI targets spatial reasoning with images and videos through this combination. The multimodal checkpoint handles up to 128K context tokens.
The published weights use the NVIDIA Open Model License Agreement. The model card also retains Qwen3.5’s Apache 2.0 license and notices for other third-party components.
All benchmark results
Every published result with its source, test setup and comparison models.
Show all 27 published benchmark results
Page 1 of 3
Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
CV-Bench (Show measurement, test conditions, and source)
- Source value
- 86.82
- Score
- 86.82
- Metric
- CV-Bench reported score
- Unit
- No unit provided
- Category
- source-specific
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Provider model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Vendor model card; agent tasks use a simulator/judge and several spatial tasks use an extra thinking/boxed-output prompt. Conflicting public vendor figures exist for some spatial rows.
- Context
- Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
3DSRBench (Show measurement, test conditions, and source)
- Source value
- 60.96
- Score
- 60.96
- Metric
- 3DSRBench reported score
- Unit
- No unit provided
- Category
- source-specific
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Provider model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Vendor model card; agent tasks use a simulator/judge and several spatial tasks use an extra thinking/boxed-output prompt. Conflicting public vendor figures exist for some spatial rows.
- Context
- Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Spar (Show measurement, test conditions, and source)
- Source value
- 51.82
- Score
- 51.82
- Metric
- Spar reported score
- Unit
- No unit provided
- Category
- source-specific
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Provider model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Vendor model card; agent tasks use a simulator/judge and several spatial tasks use an extra thinking/boxed-output prompt. Conflicting public vendor figures exist for some spatial rows.
- Context
- Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
ViewSpatial (Show measurement, test conditions, and source)
- Source value
- 62.5
- Score
- 62.5
- Metric
- ViewSpatial reported score
- Unit
- No unit provided
- Category
- source-specific
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Provider model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Vendor model card; agent tasks use a simulator/judge and several spatial tasks use an extra thinking/boxed-output prompt. Conflicting public vendor figures exist for some spatial rows.
- Context
- Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
MMSI (Show measurement, test conditions, and source)
- Source value
- 47.2
- Score
- 47.2
- Metric
- MMSI reported score
- Unit
- No unit provided
- Category
- source-specific
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Provider model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Vendor model card; agent tasks use a simulator/judge and several spatial tasks use an extra thinking/boxed-output prompt. Conflicting public vendor figures exist for some spatial rows.
- Context
- Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
MindCube (Show measurement, test conditions, and source)
- Source value
- 78.27
- Score
- 78.27
- Metric
- MindCube reported score
- Unit
- No unit provided
- Category
- source-specific
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Provider model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Vendor model card; agent tasks use a simulator/judge and several spatial tasks use an extra thinking/boxed-output prompt. Conflicting public vendor figures exist for some spatial rows.
- Context
- Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
RoboSpatial (Show measurement, test conditions, and source)
- Source value
- 56
- Score
- 56
- Metric
- RoboSpatial reported score
- Unit
- No unit provided
- Category
- source-specific
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Provider model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Vendor model card; agent tasks use a simulator/judge and several spatial tasks use an extra thinking/boxed-output prompt. Conflicting public vendor figures exist for some spatial rows.
- Context
- Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
MMLU-Pro (Show measurement, test conditions, and source)
- Source value
- 77.2
- Score
- 77.2
- Metric
- MMLU-Pro reported score
- Unit
- No unit provided
- Category
- source-specific
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Provider model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Vendor model card; agent tasks use a simulator/judge and several spatial tasks use an extra thinking/boxed-output prompt. Conflicting public vendor figures exist for some spatial rows.
- Context
- Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
IFEval (Show measurement, test conditions, and source)
- Source value
- 93.7
- Score
- 93.7
- Metric
- IFEval reported score
- Unit
- No unit provided
- Category
- source-specific
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Provider model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Vendor model card; agent tasks use a simulator/judge and several spatial tasks use an extra thinking/boxed-output prompt. Conflicting public vendor figures exist for some spatial rows.
- Context
- Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
HMMT Feb 2026 (Show measurement, test conditions, and source)
- Source value
- 72.7
- Score
- 72.7
- Metric
- HMMT Feb 2026 reported score
- Unit
- No unit provided
- Category
- source-specific
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Provider model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Vendor model card; agent tasks use a simulator/judge and several spatial tasks use an extra thinking/boxed-output prompt. Conflicting public vendor figures exist for some spatial rows.
- Context
- Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
LiveCodeBench v6 (Show measurement, test conditions, and source)
- Source value
- 73.4
- Score
- 73.4
- Metric
- LiveCodeBench v6 reported score
- Unit
- No unit provided
- Category
- source-specific
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Provider model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Vendor model card; agent tasks use a simulator/judge and several spatial tasks use an extra thinking/boxed-output prompt. Conflicting public vendor figures exist for some spatial rows.
- Context
- Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
tau2-bench (Show measurement, test conditions, and source)
- Source value
- 87.7
- Score
- 87.7
- Metric
- tau2-bench reported score
- Unit
- No unit provided
- Category
- source-specific
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Provider model card
- Status
- active
- Retrieved at
- 2026-10-04
- Methodology
- Vendor-reported result. Vendor model card; agent tasks use a simulator/judge and several spatial tasks use an extra thinking/boxed-output prompt. Conflicting public vendor figures exist for some spatial rows.
- Context
- Source-specific observation; it is not a shared comparison cohort. The source table does not state a unit or scale for this numeric score.
Page 1 of 3
Popularity compared
How often the model is searched for, used and mentioned, compared with every model of its category.
Popularity index
The 100 most popular models of this category, 0 to 100, higher is more popular
20 of 101 models
Gemini 4 Argon, Google DeepMind: 92
GPT-6 Astra, OpenAI: 78
Claude Haiku 5.5, Anthropic: 77
Qwen3.5 4B, Alibaba: 76
GPT-5, OpenAI: 73
GPT-6 Sol, OpenAI: 72
Qwen3.5 0.8B, Alibaba: 72
Qwen3.5 2B, Alibaba: 71
Qwen 3.8 27B, Alibaba: 70
Claude Opus 5.5, Anthropic: 70
DeepSeek V4.1 Flash 1017, DeepSeek: 68
Qwen 3.8 Max 0902, Alibaba: 68
Kimi K3, Moonshot AI: 68
DeepSeek-V4-Flash, DeepSeek: 65
GPT-5.6 Terra, OpenAI: 64
Claude Sonnet 5, Anthropic: 63
DiffusionGemma 26B A4B IT, Google: 63
Claude Opus 5, Anthropic: 62
Qwen 3.8 Flash, Alibaba: 62
ZDTaichu5.0-9B, Taichu AI: 36
As of November 2026 · Source: gradually.ai popularity index
Over time
Weekly values from October 18, 2026 to November 5, 2026
ZDTaichu5.0-9BHermes 4 405BGranite-4.0-H-SmallMinistral 3 3BYi-34B
All specifications
Architecture
Input and output
Watermarking and provenance
AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.
- AI watermarking
- Unknown
- no source
- Watermarking technique
- Not known
- no source
API
Frequently asked questions about ZDTaichu5.0-9B
Can I run ZDTaichu5.0-9B locally?
Yes, the weights are open.
Stated by Taichu AI
- Open weights
- yes
- License
- n/a
- Parameters
- 9B
- active per token
- n/a
Sources and data date
Show all 9 sources
Benchmark sources at a glance
Which independent evaluators tested this model. This is coverage, not a quality ranking.
No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.
Without vendor claims and historical or disputed results; those stay labelled in the single values.