Agentic
Not comparable- Holo3.1-35B-A3B-NVFP4
- Not ranked
- NExT-GPT 7B
- Not ranked
- Basis
- BenchAlign lane · 0 vs 0 public rows
- Reading
- Not comparable
Holo3.1-35B-A3B-NVFP4 vs NExT-GPT 7B
Decision reading
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.
0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Updated September 18, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
Share or export
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Holo3.1-35B-A3B-NVFP4 and NExT-GPT 7B are not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Holo3.1-35B-A3B-NVFP4 and NExT-GPT 7B are not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
Long documents
Prompts that approach the documented context limit
Not enough matched evidence
A complete context comparison is not sourced.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Which one for a specific job
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
—Holo3.1-35B-A3B-NVFP4—NExT-GPT 7B
Not comparable · BenchAlign
The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
Evidence parity totals are not available.
- Shared results
- 0
- Holo3.1-35B-A3B-NVFP4 only
- 0
- NExT-GPT 7B only
- 0
- Like-for-like categories
- 0 / 8
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
Coding
Not comparable- Holo3.1-35B-A3B-NVFP4
- Not ranked
- NExT-GPT 7B
- Not ranked
- Basis
- BenchAlign lane · 0 vs 0 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Holo3.1-35B-A3B-NVFP4
- Not ranked
- NExT-GPT 7B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Holo3.1-35B-A3B-NVFP4
- Not ranked
- NExT-GPT 7B
- Not ranked
- Basis
- BenchAlign lane · 0 vs 0 public rows
- Reading
- Not comparable
Math
Not comparable- Holo3.1-35B-A3B-NVFP4
- Not ranked
- NExT-GPT 7B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Holo3.1-35B-A3B-NVFP4
- Not ranked
- NExT-GPT 7B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Holo3.1-35B-A3B-NVFP4
- Not ranked
- NExT-GPT 7B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Holo3.1-35B-A3B-NVFP4
- Not ranked
- NExT-GPT 7B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | Holo3.1-35B-A3B-NVFP4 | NExT-GPT 7B | Basis | Reading |
|---|---|---|---|---|
| Agentic | Not ranked | Not ranked | Not comparableBenchAlign lane · 0 vs 0 public rows | Not comparable |
| Coding | Not ranked | Not ranked | Not comparableBenchAlign lane · 0 vs 0 public rows | Not comparable |
| Reasoning | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | Not ranked | Not ranked | Not comparableBenchAlign lane · 0 vs 0 public rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- Holo3.1-35B-A3B-NVFP4
- Self-hosted; infrastructure cost varies
- Fits in one request
- NExT-GPT 7B
- API rate not published
- Fit state unavailable
Holo3.1-35B-A3B-NVFP4 has no comparable published API token rate. NExT-GPT 7B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Holo3.1-35B-A3B-NVFP4
- Self-hosted; infrastructure cost varies
- Fits in one request
- NExT-GPT 7B
- API rate not published
- Fit state unavailable
Holo3.1-35B-A3B-NVFP4 has no comparable published API token rate. NExT-GPT 7B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Holo3.1-35B-A3B-NVFP4
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
- NExT-GPT 7B
- API rate not published
- Fit state unavailable
- Cached-input rate unavailable
Holo3.1-35B-A3B-NVFP4 has no comparable published API token rate. NExT-GPT 7B has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationHolo3.1-35B-A3B-NVFP4NExT-GPT 7B
Context window
Maximum documented context; output-token limits may be lower.
Holo3.1-35B-A3B-NVFP4
262K
NExT-GPT 7B
N/A
API model ID
Holo3.1-35B-A3B-NVFP4
Not sourced
NExT-GPT 7B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Holo3.1-35B-A3B-NVFP4
No comparable hosted API rate
NExT-GPT 7B
No comparable hosted API rate
NExT-GPT authors model documentationDocumented inputs
Holo3.1-35B-A3B-NVFP4
Not sourced
NExT-GPT 7B
Not sourced
Documented outputs
Holo3.1-35B-A3B-NVFP4
Not sourced
NExT-GPT 7B
Not sourced
Provider availability
Holo3.1-35B-A3B-NVFP4
Not sourced
NExT-GPT 7B
Not sourced
Reasoning profile
Holo3.1-35B-A3B-NVFP4
Non-Reasoning
NExT-GPT 7B
Non-Reasoning
Weight access
Holo3.1-35B-A3B-NVFP4
Open Weight
NExT-GPT 7B
Open Weight
License
Holo3.1-35B-A3B-NVFP4
Open Weight
NExT-GPT 7B
Open Weight
Release date
Holo3.1-35B-A3B-NVFP4
2026-06-01
NExT-GPT 7B
Not sourced
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- A complete documented context comparison is not available.
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, Holo3.1-35B-A3B-NVFP4 or NExT-GPT 7B?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Holo3.1-35B-A3B-NVFP4 or NExT-GPT 7B?
Holo3.1-35B-A3B-NVFP4 and NExT-GPT 7B are not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Holo3.1-35B-A3B-NVFP4 or NExT-GPT 7B?
Holo3.1-35B-A3B-NVFP4 and NExT-GPT 7B are not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Holo3.1-35B-A3B-NVFP4 or NExT-GPT 7B?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, Holo3.1-35B-A3B-NVFP4 or NExT-GPT 7B?
A complete documented context-window comparison is not available.
Related comparisons
Last updated September 18, 2026
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