Agentic
Like-for-like- Inkling
- 69.4
- Nemotron 3 Ultra
- 51.3
- Weighted basis
- 2 vs 2 rows
- Reading
- Inkling leads
Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.
Start the free Radar BriefUpdated August 29, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Inkling has the higher public score, 67.02 versus 46.32, and the 90% score intervals do not overlap.
9 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
Tool use, computer use, and multi-step task completion
Inkling
Inkling leads on the same 2 weighted benchmark rows.
Confidence: limited
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
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
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
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
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
| Category | Inkling | Nemotron 3 Ultra | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | 69.4 | 51.3 | Like-for-like2 vs 2 rows | Inkling leads |
| Instruction following | 79.8 | 81.7 | Like-for-like1 vs 1 rows | Nemotron 3 Ultra leads |
| Coding | 68.6 | 58.3 | Directional only2 vs 2 rows | Directional only |
| Knowledge | 51.6 | 53.8 | Directional only2 vs 3 rows | Directional only |
| Reasoning | Not measured | 61.9 | Not comparable0 vs 1 rows | Not comparable |
| Math | 97.1 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Multilingual | Not measured | 83.0 | Not comparable0 vs 1 rows | Not comparable |
| Multimodal | 76.5 | Not measured | Not comparable2 vs 0 rows | Not comparable |
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.
BrowseComp
Agentic
HLE
Knowledge
Terminal-Bench 2.0
Agentic
SWE-bench Verified
Coding
IFBench
Instruction following
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.
1K fresh input + 500 output tokens
Nemotron 3 Ultra has no comparable published API token rate.
50K fresh input + 3K output tokens
Nemotron 3 Ultra has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Nemotron 3 Ultra has no comparable published API token rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Inkling
1M
Nemotron 3 Ultra
1M
Inkling
Not sourced
Nemotron 3 Ultra
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Inkling
$0.374 per 1M cached input tokens
Nemotron 3 Ultra
No comparable hosted API rate
Inkling
Not sourced
Nemotron 3 Ultra
Not sourced
Inkling
Not sourced
Nemotron 3 Ultra
Not sourced
Inkling
Not sourced
Nemotron 3 Ultra
Not sourced
Inkling
Hybrid
Nemotron 3 Ultra
Reasoning
Inkling
Open Weight
Nemotron 3 Ultra
Open Weight
Inkling
Open Weight
Nemotron 3 Ultra
Open Weight
Inkling
2026-07-15
Nemotron 3 Ultra
2026-06-04
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.0
Inkling leads this result
BrowseComp
Inkling leads this result
MCP Atlas
Not directly comparable
PinchBench
Not directly comparable
τ³-bench results
Not directly comparable
HLE w/ tools
Not directly comparable
SWE-bench Verified
Inkling leads this result
SWE-bench Pro
Not directly comparable
Terminal-Bench 2.0
Inkling leads this result
SWE Multilingual
Not directly comparable
LiveCodeBench v6
Not directly comparable
SciCode
Not directly comparable
GPQA
Inkling leads this result
GPQA-D
Inkling leads this result
HLE
Inkling leads this result
HLE w/o tools
Inkling leads this result
MMLU-Pro
Not directly comparable
AIME26
Not directly comparable
MMLU-ProX
Not directly comparable
Inkling has the higher public score, 67.02 versus 46.32, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Inkling leads the like-for-like agentic tasks comparison across 2 shared weighted benchmark rows.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Both models list the same context window, 1M.
Last updated August 29, 2026
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