Knowledge
Directional only- GPT-6 Astra
- 96.0
- Nemotron 3 Nano Omni 30B A3B
- 76.3
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
GPT-6 Astra vs Nemotron 3 Nano Omni 30B A3B
Updated September 3, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
NVIDIA
44.69/100
Estimated · Public rank #179
90% interval 33.2–56.2
Decision reading
GPT-6 Astra has the higher public score, 81.88 versus 44.69, and the 90% score intervals do not overlap.
3 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
Long documents
Prompts that approach the documented context limit
GPT-6 Astra
GPT-6 Astra has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
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
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
13 GPT-6 Astra only
3 Shared
13 Nemotron 3 Nano Omni 30B A3B only
- Shared results
- 3
- GPT-6 Astra only
- 13
- Nemotron 3 Nano Omni 30B A3B only
- 13
- Like-for-like categories
- 0 / 8
1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
Agentic
Not comparable- GPT-6 Astra
- Not measured
- Nemotron 3 Nano Omni 30B A3B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Coding
Not comparable- GPT-6 Astra
- Not measured
- Nemotron 3 Nano Omni 30B A3B
- 32.0
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Reasoning
Not comparable- GPT-6 Astra
- 95.0
- Nemotron 3 Nano Omni 30B A3B
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- GPT-6 Astra
- 97.6
- Nemotron 3 Nano Omni 30B A3B
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- GPT-6 Astra
- Not measured
- Nemotron 3 Nano Omni 30B A3B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- GPT-6 Astra
- Not measured
- Nemotron 3 Nano Omni 30B A3B
- 76.3
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Instruction following
Not comparable- GPT-6 Astra
- Not measured
- Nemotron 3 Nano Omni 30B A3B
- 74.2
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
| Category | GPT-6 Astra | Nemotron 3 Nano Omni 30B A3B | Weighted basis | Reading |
|---|---|---|---|---|
| Knowledge | 96.0 | 76.3 | Directional only1 vs 2 rows | Directional only |
| Agentic | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Coding | Not measured | 32.0 | Not comparable0 vs 1 rows | Not comparable |
| Reasoning | 95.0 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Math | 97.6 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | 76.3 | Not comparable0 vs 1 rows | Not comparable |
| Instruction following | Not measured | 74.2 | Not comparable0 vs 1 rows | Not comparable |
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
GPT-6 Astra: 96%Nemotron 3 Nano Omni 30B A3B: 72.2%Normalized gap 23.8GPT-6 Astra source Nemotron 3 Nano Omni 30B A3B 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
- GPT-6 Astra
- $0.035
- Fits in one request
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- GPT-6 Astra
- $0.65
- Fits in one request
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- GPT-6 Astra
- $0.9
- Fits in one request
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
Nemotron 3 Nano Omni 30B A3B 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.
SpecificationGPT-6 AstraNemotron 3 Nano Omni 30B A3B
Context window
Maximum documented context; output-token limits may be lower.
GPT-6 Astra
Nemotron 3 Nano Omni 30B A3B
256K
API model ID
GPT-6 Astra
gpt-6-astra
OpenAI GPT-6 Astra model documentationNemotron 3 Nano Omni 30B A3B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
GPT-6 Astra
$1 per 1M cached input tokens
OpenAI GPT-6 Astra model documentationNemotron 3 Nano Omni 30B A3B
No comparable hosted API rate
Documented inputs
GPT-6 Astra
text, image
OpenAI GPT-6 Astra model documentationNemotron 3 Nano Omni 30B A3B
Not sourced
Documented outputs
GPT-6 Astra
Nemotron 3 Nano Omni 30B A3B
Not sourced
Provider availability
GPT-6 Astra
Limited Availability · OpenAI Responses API, ChatGPT Plus, Pro, Business, and Enterprise
OpenAI GPT-6 Astra model documentationNemotron 3 Nano Omni 30B A3B
Not sourced
Reasoning profile
GPT-6 Astra
Reasoning
Nemotron 3 Nano Omni 30B A3B
Reasoning
Weight access
GPT-6 Astra
Proprietary
Nemotron 3 Nano Omni 30B A3B
Open Weight
License
GPT-6 Astra
Proprietary
Nemotron 3 Nano Omni 30B A3B
Open Weight
Release date
GPT-6 Astra
2026-09-03
Nemotron 3 Nano Omni 30B A3B
2026-04-28
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
- GPT-6 Astra has the higher public score, 81.88 versus 44.69, and the 90% score intervals do not overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- GPT-6 Astra has the larger documented window (1.05M).
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 evidence29 rows
Agentic
OSWorld 2.0
GPT-6 Astra72.6%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
Terminal-Bench 4.0
GPT-6 Astra57.70%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
Terminal-Bench-Science 0.1
GPT-6 Astra64.6%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
ExploitGym
GPT-6 Astra42.4%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
Agents' Last Exam
GPT-6 Astra59.3%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
OSWorld
GPT-6 Astra—Nemotron 3 Nano Omni 30B A3B47.4%SourceNot directly comparable
τ²-bench results
GPT-6 Astra—Nemotron 3 Nano Omni 30B A3B45.3%SourceNot directly comparable
Coding
Reasoning
ARC-AGI-2
GPT-6 Astra95%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
ARC-AGI-3
GPT-6 Astra62.7%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
MRCR v2 256K-512K
GPT-6 Astra100.0%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
MRCR v2 512K-1M
GPT-6 Astra96.3%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
Knowledge
GPQA
GPT-6 Astra96%SourceNemotron 3 Nano Omni 30B A3B72.2%SourceGPT-6 Astra leads this result
GPQA-D
GPT-6 Astra96.0%SourceNemotron 3 Nano Omni 30B A3B72.2%SourceGPT-6 Astra leads this result
HealthBench Professional
GPT-6 Astra63.4%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
HealthBench Hard
GPT-6 Astra36.3%SourceNemotron 3 Nano Omni 30B A3B—Not directly comparable
MMLU-Pro
GPT-6 Astra—Nemotron 3 Nano Omni 30B A3B77.3%SourceNot directly comparable
Math
Multimodal
ScreenSpot Pro
GPT-6 Astra92.7%SourceNemotron 3 Nano Omni 30B A3B57.8%SourceGPT-6 Astra leads this result
MMMU
GPT-6 Astra—Nemotron 3 Nano Omni 30B A3B70.8%SourceNot directly comparable
MMLongBench-Doc
GPT-6 Astra—Nemotron 3 Nano Omni 30B A3B57.5%SourceNot directly comparable
CharXiv
GPT-6 Astra—Nemotron 3 Nano Omni 30B A3B76.3%SourceNot directly comparable
Video-MME (w/o subtitle)
GPT-6 Astra—Nemotron 3 Nano Omni 30B A3B72.2%SourceNot directly comparable
AI2D_TEST
GPT-6 Astra—Nemotron 3 Nano Omni 30B A3B88.5%SourceNot directly comparable
RefCOCO (avg)
GPT-6 Astra—Nemotron 3 Nano Omni 30B A3B90.5%SourceNot directly comparable
Instruction following
IFBench
GPT-6 Astra—Nemotron 3 Nano Omni 30B A3B74.2%SourceNot directly comparable
Frequently asked questions
Which is better, GPT-6 Astra or Nemotron 3 Nano Omni 30B A3B?
GPT-6 Astra has the higher public score, 81.88 versus 44.69, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
Which is better for coding, GPT-6 Astra or Nemotron 3 Nano Omni 30B A3B?
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
Which is better for agentic tasks, GPT-6 Astra or Nemotron 3 Nano Omni 30B A3B?
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Which costs less, GPT-6 Astra or Nemotron 3 Nano Omni 30B A3B?
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, GPT-6 Astra or Nemotron 3 Nano Omni 30B A3B?
GPT-6 Astra has the larger documented context window: 1.05M, compared with 256K.
Related comparisons
Last updated September 3, 2026
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