Coding
Directional only- GPT-4.1 mini
- 23.6
- Nemotron 3 Ultra
- 58.3
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
GPT-4.1 mini vs Nemotron 3 Ultra
Updated August 30, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Nemotron 3 Ultra has the higher public score estimate, 46.32 versus 44.33, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
2 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.
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
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
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
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.
3 GPT-4.1 mini only
2 Shared
17 Nemotron 3 Ultra only
- Shared results
- 2
- GPT-4.1 mini only
- 3
- Nemotron 3 Ultra only
- 17
- Like-for-like categories
- 0 / 8
2 categories use 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.
Knowledge
Directional only- GPT-4.1 mini
- 64.2
- Nemotron 3 Ultra
- 53.8
- Weighted basis
- 1 vs 3 rows
- Reading
- Directional only
Agentic
Not comparable- GPT-4.1 mini
- Not measured
- Nemotron 3 Ultra
- 51.3
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Reasoning
Not comparable- GPT-4.1 mini
- Not measured
- Nemotron 3 Ultra
- 61.9
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Math
Not comparable- GPT-4.1 mini
- 4.5
- Nemotron 3 Ultra
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- GPT-4.1 mini
- Not measured
- Nemotron 3 Ultra
- 83.0
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Multimodal
Not comparable- GPT-4.1 mini
- Not measured
- Nemotron 3 Ultra
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- GPT-4.1 mini
- 88.5
- Nemotron 3 Ultra
- 81.7
- Weighted basis
- 1 vs 1 rows
- Reading
- Not comparable
| Category | GPT-4.1 mini | Nemotron 3 Ultra | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 23.6 | 58.3 | Directional only1 vs 2 rows | Directional only |
| Knowledge | 64.2 | 53.8 | Directional only1 vs 3 rows | Directional only |
| Agentic | Not measured | 51.3 | Not comparable0 vs 2 rows | Not comparable |
| Reasoning | Not measured | 61.9 | Not comparable0 vs 1 rows | Not comparable |
| Math | 4.5 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Multilingual | Not measured | 83.0 | Not comparable0 vs 1 rows | Not comparable |
| Multimodal | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | 88.5 | 81.7 | Not comparable1 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.
SWE-bench Verified
Coding
GPT-4.1 mini: 23.6%Nemotron 3 Ultra: 71.9%Normalized gap 48.3GPT-4.1 mini source Nemotron 3 Ultra sourceGPQA
Knowledge
GPT-4.1 mini: 64.2%Nemotron 3 Ultra: 87%Normalized gap 22.8GPT-4.1 mini 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
- GPT-4.1 mini
- $0.0012
- 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
- GPT-4.1 mini
- $0.0248
- 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
- GPT-4.1 mini
- $0.104
- 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
GPT-4.1 mini 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.
SpecificationGPT-4.1 miniNemotron 3 Ultra
Context window
Maximum documented context; output-token limits may be lower.
GPT-4.1 mini
1M
Nemotron 3 Ultra
1M
API model ID
GPT-4.1 mini
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.
GPT-4.1 mini
Not published
Nemotron 3 Ultra
No comparable hosted API rate
Documented inputs
GPT-4.1 mini
Not sourced
Nemotron 3 Ultra
Not sourced
Documented outputs
GPT-4.1 mini
Not sourced
Nemotron 3 Ultra
Not sourced
Provider availability
GPT-4.1 mini
Not sourced
Nemotron 3 Ultra
Not sourced
Reasoning profile
GPT-4.1 mini
Non-Reasoning
Nemotron 3 Ultra
Reasoning
Weight access
GPT-4.1 mini
Proprietary
Nemotron 3 Ultra
Open Weight
License
GPT-4.1 mini
Proprietary
Nemotron 3 Ultra
Open Weight
Release date
GPT-4.1 mini
2025-04-14
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
- Nemotron 3 Ultra has the higher public score estimate, 46.32 versus 44.33, but the 90% score intervals overlap.
- 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 evidence22 rows
Agentic
Terminal-Bench 2.0
GPT-4.1 mini—Nemotron 3 Ultra56.4%SourceNot directly comparable
PinchBench
GPT-4.1 mini—Nemotron 3 Ultra90.0%SourceNot directly comparable
BrowseComp
GPT-4.1 mini—Nemotron 3 Ultra44.4%SourceNot directly comparable
τ³-bench results
GPT-4.1 mini—Nemotron 3 Ultra70.9%SourceNot directly comparable
HLE w/ tools
GPT-4.1 mini—Nemotron 3 Ultra37.4%SourceNot directly comparable
Coding
SWE-bench Verified
GPT-4.1 mini23.6%SourceNemotron 3 Ultra71.9%SourceNemotron 3 Ultra leads this result
SWE Multilingual
GPT-4.1 mini—Nemotron 3 Ultra67.7%SourceNot directly comparable
LiveCodeBench v6
GPT-4.1 mini—Nemotron 3 Ultra89.0%SourceNot directly comparable
SciCode
GPT-4.1 mini—Nemotron 3 Ultra44.6%SourceNot directly comparable
Terminal-Bench 2.0
GPT-4.1 mini—Nemotron 3 Ultra56.4%SourceNot directly comparable
Reasoning
Knowledge
MMLU
GPT-4.1 mini87.5%SourceNemotron 3 Ultra—Not directly comparable
GPQA
GPT-4.1 mini64.2%SourceNemotron 3 Ultra87%SourceNemotron 3 Ultra leads this result
GPQA-D
GPT-4.1 mini—Nemotron 3 Ultra87.0%SourceNot directly comparable
HLE
GPT-4.1 mini—Nemotron 3 Ultra26.7%SourceNot directly comparable
HLE w/o tools
GPT-4.1 mini—Nemotron 3 Ultra26.7%SourceNot directly comparable
MMLU-Pro
GPT-4.1 mini—Nemotron 3 Ultra86.8%SourceNot directly comparable
Math
FrontierMath v2 (Tiers 1-3)
GPT-4.1 mini4.483%SourceNemotron 3 Ultra—Not directly comparable
Multilingual
MMLU-ProX
GPT-4.1 mini—Nemotron 3 Ultra83%SourceNot directly comparable
Instruction following
Frequently asked questions
Which is better, GPT-4.1 mini or Nemotron 3 Ultra?
Nemotron 3 Ultra has the higher public score estimate, 46.32 versus 44.33, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, GPT-4.1 mini or Nemotron 3 Ultra?
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.
Which is better for agentic tasks, GPT-4.1 mini or Nemotron 3 Ultra?
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-4.1 mini 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, GPT-4.1 mini or Nemotron 3 Ultra?
Both models list the same context window, 1M.
Related comparisons
Last updated August 30, 2026
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