Knowledge
Directional only- Interfaze Beta
- 48.7
- Estimated · #91/183
- Nemotron 3 Ultra
- 44.7
- Estimated · #112/183
- Basis
- BenchAlign lane · 3 vs 7 public rows
- Reading
- Directional only
Interfaze Beta vs Nemotron 3 Ultra
Updated September 15, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
2 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
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
Interfaze Beta is 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
Interfaze Beta is 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
No clear pick
The documented context windows are equal.
Confidence: documented
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: rate-fallback
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
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
7 Interfaze Beta only
2 Shared
22 Nemotron 3 Ultra only
- Shared results
- 2
- Interfaze Beta only
- 7
- Nemotron 3 Ultra only
- 22
- Like-for-like categories
- 0 / 8
1 category rests on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
Agentic
Not comparable- Interfaze Beta
- Not ranked
- Nemotron 3 Ultra
- 26.9
- Supported · #144/153
- Basis
- BenchAlign lane · 0 vs 6 public rows
- Reading
- Not comparable
Coding
Not comparable- Interfaze Beta
- Not ranked
- Nemotron 3 Ultra
- 26.6
- Supported · #146/152
- Basis
- BenchAlign lane · 1 vs 7 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Interfaze Beta
- Not ranked
- Nemotron 3 Ultra
- 48.7
- Unranked · 1 rankable row
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Math
Not comparable- Interfaze Beta
- Not ranked
- Nemotron 3 Ultra
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Interfaze Beta
- Not ranked
- Nemotron 3 Ultra
- 47.4
- #7/12
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Interfaze Beta
- 27.5
- Unranked · 5 rankable rows
- Nemotron 3 Ultra
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Interfaze Beta
- Not ranked
- Nemotron 3 Ultra
- 88.8
- #28/123
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
| Category | Interfaze Beta | Nemotron 3 Ultra | Basis | Reading |
|---|---|---|---|---|
| Knowledge | 48.7Estimated · #91/183 | 44.7Estimated · #112/183 | Directional onlyBenchAlign lane · 3 vs 7 public rows | Directional only |
| Agentic | Not ranked | 26.9Supported · #144/153 | Not comparableBenchAlign lane · 0 vs 6 public rows | Not comparable |
| Coding | Not ranked | 26.6Supported · #146/152 | Not comparableBenchAlign lane · 1 vs 7 public rows | Not comparable |
| Reasoning | Not ranked | 48.7Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | 47.4#7/12 | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Multimodal | 27.5Unranked · 5 rankable rows | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | 88.8#28/123 | Not comparableProvisional lane · 0 vs 1 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.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
GPQA
Knowledge
Interfaze Beta: 89.9%Nemotron 3 Ultra: 87%Normalized gap 2.9Interfaze Beta source Nemotron 3 Ultra source
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
- Interfaze Beta
- $0.00325
- Fits in one request
- Nemotron 3 Ultra
- Self-hosted; infrastructure cost varies
- Fits in one request
Nemotron 3 Ultra has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Interfaze Beta
- $0.0855
- Fits in one request
- Nemotron 3 Ultra
- Self-hosted; infrastructure cost varies
- Fits in one request
Nemotron 3 Ultra has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Interfaze Beta
- $0.365
- Fits in one request
- Cached input priced at the published list-input rate
- Nemotron 3 Ultra
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
Interfaze Beta has no published cached-input rate, so cached tokens use its listed input rate. Nemotron 3 Ultra 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.
SpecificationInterfaze BetaNemotron 3 Ultra
Context window
Maximum documented context; output-token limits may be lower.
Interfaze Beta
1M
Nemotron 3 Ultra
1M
API model ID
Interfaze Beta
Not sourced
Nemotron 3 Ultra
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Interfaze Beta
Not published
Nemotron 3 Ultra
No comparable hosted API rate
Documented inputs
Interfaze Beta
Not sourced
Nemotron 3 Ultra
Not sourced
Documented outputs
Interfaze Beta
Not sourced
Nemotron 3 Ultra
Not sourced
Provider availability
Interfaze Beta
Not sourced
Nemotron 3 Ultra
Not sourced
Reasoning profile
Interfaze Beta
Reasoning
Nemotron 3 Ultra
Reasoning
Weight access
Interfaze Beta
Proprietary
Nemotron 3 Ultra
Open Weight
License
Interfaze Beta
Proprietary
Nemotron 3 Ultra
Open Weight
Release date
Interfaze Beta
2026-05-11
Nemotron 3 Ultra
2026-06-04
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
- At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Both models list 1M.
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence31 rows
Agentic
Terminal-Bench 2.0
Interfaze Beta—Nemotron 3 Ultra56.4%SourceNot directly comparable
PinchBench
Interfaze Beta—Nemotron 3 Ultra90.0%SourceNot directly comparable
BrowseComp
Interfaze Beta—Nemotron 3 Ultra44.4%SourceNot directly comparable
τ³-bench results
Interfaze Beta—Nemotron 3 Ultra70.9%SourceNot directly comparable
HLE w/ tools
Interfaze Beta—Nemotron 3 Ultra37.4%SourceNot directly comparable
Terminal-Bench 2.1 (Vals)
Interfaze Beta—Nemotron 3 Ultra50.9%SourceNot directly comparable
Coding
Spider 2.0-Lite
Interfaze Beta52.9%SourceNemotron 3 Ultra—Not directly comparable
SWE-bench Verified
Interfaze Beta—Nemotron 3 Ultra71.9%SourceNot directly comparable
SWE Multilingual
Interfaze Beta—Nemotron 3 Ultra67.7%SourceNot directly comparable
LiveCodeBench v6
Interfaze Beta—Nemotron 3 Ultra89.0%SourceNot directly comparable
SciCode
Interfaze Beta—Nemotron 3 Ultra44.6%SourceNot directly comparable
Terminal-Bench 2.0
Interfaze Beta—Nemotron 3 Ultra56.4%SourceNot directly comparable
LiveCodeBench (Vals)
Interfaze Beta—Nemotron 3 Ultra86.0%SourceNot directly comparable
SWE-bench (Vals)
Interfaze Beta—Nemotron 3 Ultra69.0%SourceNot directly comparable
Reasoning
Knowledge
GPQA
Interfaze Beta89.9%SourceNemotron 3 Ultra87%SourceInterfaze Beta leads this result
GPQA-D
Interfaze Beta89.9%SourceNemotron 3 Ultra87.0%SourceInterfaze Beta leads this result
MMMLU
Interfaze Beta90.9%SourceNemotron 3 Ultra—Not directly comparable
HLE
Interfaze Beta—Nemotron 3 Ultra26.7%SourceNot directly comparable
HLE w/o tools
Interfaze Beta—Nemotron 3 Ultra26.7%SourceNot directly comparable
MMLU-Pro
Interfaze Beta—Nemotron 3 Ultra86.8%SourceNot directly comparable
GPQA Diamond (Vals)
Interfaze Beta—Nemotron 3 Ultra86.1%SourceNot directly comparable
MMLU-Pro (Vals)
Interfaze Beta—Nemotron 3 Ultra85.8%SourceNot directly comparable
Multilingual
MMLU-ProX
Interfaze Beta—Nemotron 3 Ultra83%SourceNot directly comparable
Multimodal
OCRBench V2
Interfaze Beta70.7%SourceNemotron 3 Ultra—Not directly comparable
olmOCR
Interfaze Beta85.7%SourceNemotron 3 Ultra—Not directly comparable
RefCOCO (avg)
Interfaze Beta82.1%SourceNemotron 3 Ultra—Not directly comparable
MMMU-Pro
Interfaze Beta71.1%SourceNemotron 3 Ultra—Not directly comparable
Instruction following
Frequently asked questions
Which is better, Interfaze Beta or Nemotron 3 Ultra?
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Interfaze Beta or Nemotron 3 Ultra?
Interfaze Beta is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Interfaze Beta or Nemotron 3 Ultra?
Interfaze Beta is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Interfaze Beta or Nemotron 3 Ultra?
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, Interfaze Beta or Nemotron 3 Ultra?
Both models list the same context window, 1M.
Related comparisons
Last updated September 15, 2026
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