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Model comparison

GPT-5.6 Terra vs Nemotron 3 Ultra

Data verified

Head-to-head evidence from 22 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

72.58/100
Margin
12.6pts
← winning
60/100
3 category wins0 category wins

Public leaderboard positions: GPT-5.6 Terra #10 (Estimated); Nemotron 3 Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.6 Terra and Nemotron 3 Ultra share 22 comparable benchmark results. 3 of 8 categories are comparable. 21 results are unique to GPT-5.6 Terra; 17 to Nemotron 3 Ultra.

Updated July 17, 2026
Shared results
22
GPT-5.6 Terra only
21
Nemotron 3 Ultra only
17
Comparable categories
3 / 8

Pick GPT-5.6 Terra if you want the stronger benchmark profile. Nemotron 3 Ultra only becomes the better choice if you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 22 shared benchmark results across 5 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.6 Terra is clearly ahead on the BenchAlign aggregate, 72.58 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.6 Terra's sharpest advantage is in knowledge, where it averages 92.9 against 54.2. The single biggest benchmark swing on the page is BrowseComp, 87.5% to 44.4%.

GPT-5.6 Terra is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Ultra. That is roughly Infinityx on output cost alone.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for GPT-5.6 Terra and Nemotron 3 Ultra
CategoryGPT-5.6 TerraΔNemotron 3 Ultra
KnowledgeGPT-5.6 Terra92.9Margin← 38.7Nemotron 3 Ultra54.2
AgenticGPT-5.6 Terra87.4Margin← 36.1Nemotron 3 Ultra51.3
CodingGPT-5.6 Terra63.4Margin← 5.1Nemotron 3 Ultra58.3
ReasoningGPT-5.6 TerraNot measuredMarginNo overlapNemotron 3 Ultra61.9
MathGPT-5.6 Terra80.8MarginNo overlapNemotron 3 UltraNot measured
MultilingualGPT-5.6 TerraNot measuredMarginNo overlapNemotron 3 Ultra83.0
MultimodalGPT-5.6 Terra80.7MarginNo overlapNemotron 3 UltraNot measured
Inst. FollowingGPT-5.6 TerraNot measuredMarginNo overlapNemotron 3 Ultra81.7

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · GPT-5.6 TerraB · Nemotron 3 Ultra

  1. BrowseComp

    Agentic
    Source ↗
    A 87.5%B 44.4%
    Winner: GPT-5.6 TerraΔ 43.1
    BrowseComp: GPT-5.6 Terra scored 87.5%; Nemotron 3 Ultra scored 44.4%. GPT-5.6 Terra wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 87.4%B 56.4%
    Winner: GPT-5.6 TerraΔ 31
    Terminal-Bench 2.0: GPT-5.6 Terra scored 87.4%; Nemotron 3 Ultra scored 56.4%. GPT-5.6 Terra wins this benchmark.

  3. GPQA

    Knowledge
    Source ↗
    A 92.9%B 87%
    Winner: GPT-5.6 TerraΔ 5.9
    GPQA: GPT-5.6 Terra scored 92.9%; Nemotron 3 Ultra scored 87%. GPT-5.6 Terra wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-5.6 TerraNemotron 3 UltraComparison
Input / output priceUSD per 1M tokensGPT-5.6 Terra$2.5 input / $15 outputNemotron 3 Ultra$0 input / $0 outputNemotron 3 Ultra has the lower combined listed price.
Generation speedtokens per secondGPT-5.6 TerraNot availableNemotron 3 UltraNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.6 TerraNot availableNemotron 3 UltraNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.6 Terra1MNemotron 3 Ultra1MListed context windows are equal.

Benchmark Deep Dive

AgenticGPT-5.6 Terra wins
BenchmarkGPT-5.6 TerraNemotron 3 UltraResult
Terminal-Bench 2.0Source 87.4%56.4%GPT-5.6 Terra leads
BrowseCompSource 87.5%44.4%GPT-5.6 Terra leads
OSWorld 2.0Source 50.2%—Not comparable
CyberGymSource 81.8%—Not comparable
ExploitGymSource 23.2%—Not comparable
ToolathlonSource 53.1%—Not comparable
AA Agentic IndexSource 47.4%27.4%GPT-5.6 Terra leads
τ²-bench resultsSource 86.3%83.3%GPT-5.6 Terra leads
GDPval-AASource 54.6%33.2%GPT-5.6 Terra leads
GDPval-AASource 15931164GPT-5.6 Terra leads
AA Harvey LABSource 2.5%3.3%Nemotron 3 Ultra leads
AA ITBenchSource 51.0%—Not comparable
AA Tau3 BankingSource 31.8%—Not comparable
AA AutomationBenchSource 45.6%—Not comparable
PinchBenchSource —90.0%Not comparable
τ³-bench resultsSource —70.9%Not comparable
HLE w/ toolsSource —37.4%Not comparable
AA BriefcaseSource —870Not comparable
AA EnterpriseOps-GymSource —28.9%Not comparable
CodingGPT-5.6 Terra wins
BenchmarkGPT-5.6 TerraNemotron 3 UltraResult
SWE-bench ProSource 63.4%—Not comparable
Terminal-Bench 2.0Source 87.4%56.4%GPT-5.6 Terra leads
deepSweSource 69.6%—Not comparable
FrontierCode 1.1 ExtendedSource 55.8%—Not comparable
cursorBench32Source 64.9%—Not comparable
AA Coding IndexSource 76.7%49.3%GPT-5.6 Terra leads
Terminal-Bench HardSource 57.6%36.4%GPT-5.6 Terra leads
AA-SciCodeSource 53.9%39.9%GPT-5.6 Terra leads
AA Terminal-Bench 2.1Source 88.0%—Not comparable
SWE-bench VerifiedSource —71.9%Not comparable
SWE MultilingualSource —67.7%Not comparable
LiveCodeBench v6Source —89.0%Not comparable
SciCodeSource —44.6%Not comparable
Reasoning
BenchmarkGPT-5.6 TerraNemotron 3 UltraResult
ARC-AGI-3Source 0.8%—Not comparable
AA-LCRSource 74.0%67.0%GPT-5.6 Terra leads
CritPtSource 30.0%3.1%GPT-5.6 Terra leads
LongBench v2Source —61.9%Not comparable
KnowledgeGPT-5.6 Terra wins
BenchmarkGPT-5.6 TerraNemotron 3 UltraResult
GPQASource 92.9%87%GPT-5.6 Terra leads
GPQA-DSource 92.9%87.0%GPT-5.6 Terra leads
HealthBench ProfessionalSource 57.7%—Not comparable
HealthBench HardSource 32.7%—Not comparable
Artificial Analysis Intelligence IndexSource 55.0%37.8%GPT-5.6 Terra leads
AA-GPQA DiamondSource 92.5%86.7%GPT-5.6 Terra leads
AA-HLESource 41.8%26.6%GPT-5.6 Terra leads
AA-Omniscience IndexSource -0.2%-0.8%GPT-5.6 Terra leads
AA-Omniscience AccuracySource 45.9%21.6%GPT-5.6 Terra leads
AA-Omniscience Hallucination RateSource 85.2%28.5%Nemotron 3 Ultra leads
HLESource —26.7%Not comparable
HLE w/o toolsSource —26.7%Not comparable
MMLU-ProSource —86.8%Not comparable
AA Openness IndexSource —83.3%Not comparable
Math
BenchmarkGPT-5.6 TerraNemotron 3 UltraResult
FrontierMath (legacy)Source 84.9%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 84.900%—Not comparable
FrontierMath v2 (Tier 4)Source 68.300%—Not comparable
Multilingual
BenchmarkGPT-5.6 TerraNemotron 3 UltraResult
MMLU-ProXSource —83%Not comparable
Multimodal
BenchmarkGPT-5.6 TerraNemotron 3 UltraResult
MMMU-ProSource 80.7%—Not comparable
MMMU-Pro w/ PythonSource 82%—Not comparable
AA-MMMU-ProSource 80.7%—Not comparable
Design Arena WebsiteSource —1132Not comparable
Inst. Following
BenchmarkGPT-5.6 TerraNemotron 3 UltraResult
AA-IFBenchSource 71.2%81.4%Nemotron 3 Ultra leads
IFBenchSource —81.7%Not comparable
Frequently Asked Questions (4)

Which is better, GPT-5.6 Terra or Nemotron 3 Ultra?

GPT-5.6 Terra is ahead on BenchLM's BenchAlign leaderboard, 72.58 to 60. The biggest single separator in this matchup is BrowseComp, where the scores are 87.5% and 44.4%.

Which is better for knowledge tasks, GPT-5.6 Terra or Nemotron 3 Ultra?

GPT-5.6 Terra has the edge for knowledge tasks in this comparison, averaging 92.9 versus 54.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-5.6 Terra or Nemotron 3 Ultra?

GPT-5.6 Terra has the edge for coding in this comparison, averaging 63.4 versus 58.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.6 Terra or Nemotron 3 Ultra?

GPT-5.6 Terra has the edge for agentic tasks in this comparison, averaging 87.4 versus 51.3. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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