Gemini 3.7 Flash vs Nemotron 3 Ultra

Updated September 27, 2026. Rank says Gemini 3.7 Flash is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

Decision reading

Gemini 3.7 Flash has the higher public score, 67.66 versus 43.3, and the 90% score intervals do not overlap. 7 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

Gemini 3.7 Flash

Google

67.66/100

Supported · Public rank #19

90% interval 63.0–72.3

Model B

Nemotron 3 Ultra

NVIDIA

43.3/100

Estimated · Public rank #102

90% interval 33.4–53.2

Shared results: 7
Gemini 3.7 Flash only: 18
Nemotron 3 Ultra only: 17
Like-for-like categories: 2 / 8

Supported: Gemini 3.7 Flash · Estimated: Nemotron 3 UltraHow the comparison works

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.

Coding work
Code generation, repair, and software-engineering tasks
Gemini 3.7 Flash
Gemini 3.7 Flash leads on the public coding lane, 60.3 to 23.2, with Supported evidence for both models and non-overlapping 90% intervals.
Confidence: stronger
Agentic work
Tool use, computer use, and multi-step task completion
Gemini 3.7 Flash
Gemini 3.7 Flash leads on the public agentic lane, 58.6 to 25.5, with Supported evidence for both models and non-overlapping 90% intervals.
Confidence: stronger

Show secondary and unsupported calls

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: 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

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

Pick the job you would use them for

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

60.3Gemini 3.7 Flash23.2Nemotron 3 Ultra

Like-for-like · BenchAlign v5.7

Gemini 3.7 Flash leads the like-for-like coding row.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Open the coding leaderboard Shortlist models for this job

Same basis rules as the category table below

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.

MMLU-Pro (Vals)Knowledge
Normalized gap 4.3
Gemini 3.7 Flash:90.1%
Nemotron 3 Ultra:85.8%
Gemini 3.7 Flash source Nemotron 3 Ultra source
LiveCodeBench (Vals)Coding
Normalized gap 2.7
Gemini 3.7 Flash:88.7%
Nemotron 3 Ultra:86.0%
Gemini 3.7 Flash source Nemotron 3 Ultra source

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.7 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

Like-for-like

Gemini 3.7 Flash: 58.6; Supported · #20/105
Nemotron 3 Ultra: 25.5; Supported · #77/105
Basis: BenchAlign v5.7 lane · 7 vs 6 public rows
Reading: Gemini 3.7 Flash leads

Coding

Like-for-like

Gemini 3.7 Flash: 60.3; Supported · #17/135
Nemotron 3 Ultra: 23.2; Supported · #108/135
Basis: BenchAlign v5.7 lane · 6 vs 7 public rows
Reading: Gemini 3.7 Flash leads

Knowledge

Directional only

Gemini 3.7 Flash: 71.1; Supported · #10/158
Nemotron 3 Ultra: 45.9; Estimated · #71/158
Basis: BenchAlign v5.7 lane · 6 vs 7 public rows
Reading: Directional only

Reasoning

Not comparable

Gemini 3.7 Flash: 77.8; Unranked · 5 rankable rows
Nemotron 3 Ultra: 49.8; Unranked · 1 rankable row
Basis: Provisional lane · 1 vs 1 weighted rows
Reading: Not comparable

Multimodal

Not comparable

Gemini 3.7 Flash: 82.6; #10/50
Nemotron 3 Ultra: Not ranked
Basis: Provisional lane · 1 vs 0 weighted rows
Reading: Not comparable

Multilingual

Not comparable

Gemini 3.7 Flash: Not ranked
Nemotron 3 Ultra: 47.4; #7/12
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Instruction following

Not comparable

Gemini 3.7 Flash: Not ranked
Nemotron 3 Ultra: 88.1; #26/124
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Math

Not comparable

Gemini 3.7 Flash: Not ranked
Nemotron 3 Ultra: Not ranked
Basis: Provisional lane · 0 vs 0 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for Gemini 3.7 Flash and Nemotron 3 Ultra
Category	Gemini 3.7 Flash	Nemotron 3 Ultra	Basis	Reading
Agentic	58.6Supported · #20/105	25.5Supported · #77/105	Like-for-likeBenchAlign v5.7 lane · 7 vs 6 public rows	Gemini 3.7 Flash leads
Coding	60.3Supported · #17/135	23.2Supported · #108/135	Like-for-likeBenchAlign v5.7 lane · 6 vs 7 public rows	Gemini 3.7 Flash leads
Knowledge	71.1Supported · #10/158	45.9Estimated · #71/158	Directional onlyBenchAlign v5.7 lane · 6 vs 7 public rows	Directional only
Reasoning	77.8Unranked · 5 rankable rows	49.8Unranked · 1 rankable row	Not comparableProvisional lane · 1 vs 1 weighted rows	Not comparable
Multimodal	82.6#10/50	Not ranked	Not comparableProvisional lane · 1 vs 0 weighted rows	Not comparable
Multilingual	Not ranked	47.4#7/12	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Instruction following	Not ranked	88.1#26/124	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

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.7) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

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

Gemini 3.7 Flash: $0.00262; 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

Gemini 3.7 Flash: $0.04875; 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

Gemini 3.7 Flash: $0.0675; Fits in one request
Nemotron 3 Ultra: Self-hosted; infrastructure cost varies; Fits in one request; Cached-input rate unavailable

Nemotron 3 Ultra has no comparable published API token rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

SpecificationGemini 3.7 FlashNemotron 3 Ultra

Context window

Maximum documented context; output-token limits may be lower.

Gemini 3.7 Flash

Google Gemini 3.7 Flash API documentation

Nemotron 3 Ultra

API model ID

Gemini 3.7 Flash

gemini-3.7-flash

Google Gemini 3.7 Flash API documentation

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.

Gemini 3.7 Flash

$0.075 per 1M cached input tokens

Google Gemini API pricing

Nemotron 3 Ultra

No comparable hosted API rate

Documented inputs

Gemini 3.7 Flash

text, image, video, audio, pdf

Google Gemini 3.7 Flash API documentation

Nemotron 3 Ultra

Not sourced

Documented outputs

Gemini 3.7 Flash

text

Google Gemini 3.7 Flash API documentation

Nemotron 3 Ultra

Not sourced

Provider availability

Gemini 3.7 Flash

Generally Available · Gemini API, Google AI Studio, Gemini App - Spark, Gemini Enterprise App, Gemini Enterprise Agent Platform, Google Antigravity

Google DeepMind Gemini 3.7 Flash model card

Nemotron 3 Ultra

Not sourced

Reasoning profile

Gemini 3.7 Flash

Reasoning

Nemotron 3 Ultra

Reasoning

Weight access

Gemini 3.7 Flash

Proprietary

Nemotron 3 Ultra

Open Weight

License

Gemini 3.7 Flash

Proprietary

Nemotron 3 Ultra

Open Weight

Release date

Gemini 3.7 Flash

2026-08-13

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: Gemini 3.7 Flash has the higher public score, 67.66 versus 43.3, and the 90% score intervals do not 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.

Questions

Which is better, Gemini 3.7 Flash or Nemotron 3 Ultra?

Gemini 3.7 Flash has the higher public score, 67.66 versus 43.3, 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, Gemini 3.7 Flash or Nemotron 3 Ultra?

Gemini 3.7 Flash leads the public coding lane, 60.3 to 23.2, with Supported evidence for both models and non-overlapping 90% intervals.

Which is better for agentic tasks, Gemini 3.7 Flash or Nemotron 3 Ultra?

Gemini 3.7 Flash leads the public agentic tasks lane, 58.6 to 25.5, with Supported evidence for both models and non-overlapping 90% intervals.

Which costs less, Gemini 3.7 Flash 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, Gemini 3.7 Flash or Nemotron 3 Ultra?

Both models list the same context window, 1M.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence42 rows

Agentic

Terminal-Bench 2.1
Gemini 3.7 Flash85.8%
Source
Nemotron 3 Ultra56.4%
Source
Gemini 3.7 Flash leads this result
Terminal-Bench 3.0
Gemini 3.7 Flash14.9%
Source
Nemotron 3 Ultra—
Not directly comparable
AutomationBench
Gemini 3.7 Flash30.4%
Source
Nemotron 3 Ultra—
Not directly comparable
OSWorld 2.0
Gemini 3.7 Flash47.9%
Source
Nemotron 3 Ultra—
Not directly comparable
Agents' Last Exam
Gemini 3.7 Flash26.3%
Source
Nemotron 3 Ultra—
Not directly comparable
Terminal-Bench 2.1 (Vals)
Gemini 3.7 Flash77.5%
Source
Nemotron 3 Ultra50.9%
Source
Gemini 3.7 Flash leads this result
ApprenticeBench
Gemini 3.7 Flash16%
Source
Nemotron 3 Ultra—
Not directly comparable
PinchBench
Gemini 3.7 Flash—
Nemotron 3 Ultra90.0%
Source
Not directly comparable
BrowseComp
Gemini 3.7 Flash—
Nemotron 3 Ultra44.4%
Source
Not directly comparable
τ³-bench results
Gemini 3.7 Flash—
Nemotron 3 Ultra70.9%
Source
Not directly comparable
HLE w/ tools
Gemini 3.7 Flash—
Nemotron 3 Ultra37.4%
Source
Not directly comparable

Coding

FrontierCode 1.1 Main
Gemini 3.7 Flash43.6%
Source
Nemotron 3 Ultra—
Not directly comparable
DeepSWE
Gemini 3.7 Flash65.3%
Source
Nemotron 3 Ultra—
Not directly comparable
Terminal-Bench 2.1
Gemini 3.7 Flash85.8%
Source
Nemotron 3 Ultra56.4%
Source
Gemini 3.7 Flash leads this result
FrontierSWE v2
Gemini 3.7 Flash20.3%
Source
Nemotron 3 Ultra—
Not directly comparable
LiveCodeBench (Vals)
Gemini 3.7 Flash88.7%
Source
Nemotron 3 Ultra86.0%
Source
Gemini 3.7 Flash leads this result
SWE-bench (Vals)
Gemini 3.7 Flash80.8%
Source
Nemotron 3 Ultra69.0%
Source
Gemini 3.7 Flash leads this result
SWE-bench Verified
Gemini 3.7 Flash—
Nemotron 3 Ultra71.9%
Source
Not directly comparable
SWE Multilingual
Gemini 3.7 Flash—
Nemotron 3 Ultra67.7%
Source
Not directly comparable
LiveCodeBench v6
Gemini 3.7 Flash—
Nemotron 3 Ultra89.0%
Source
Not directly comparable
SciCode
Gemini 3.7 Flash—
Nemotron 3 Ultra44.6%
Source
Not directly comparable

Reasoning

MRCR v2 64K-128K
Gemini 3.7 Flash97%
Source
Nemotron 3 Ultra—
Not directly comparable
ARC-AGI-1
Gemini 3.7 Flash95.50%
Source
Nemotron 3 Ultra—
Not directly comparable
ARC-AGI-2
Gemini 3.7 Flash84.6%
Source
Nemotron 3 Ultra—
Not directly comparable
CritPt
Gemini 3.7 Flash—
Nemotron 3 Ultra3.1%
Source
Not directly comparable
LongBench v2
Gemini 3.7 Flash—
Nemotron 3 Ultra61.9%
Source
Not directly comparable

Multimodal

CharXiv w/o tools
Gemini 3.7 Flash84.5%
Source
Nemotron 3 Ultra—
Not directly comparable
CharXiv
Gemini 3.7 Flash88.7%
Source
Nemotron 3 Ultra—
Not directly comparable
LVBench
Gemini 3.7 Flash85.4%
Source
Nemotron 3 Ultra—
Not directly comparable

Knowledge

HLE-Verified
Gemini 3.7 Flash53.6%
Source
Nemotron 3 Ultra—
Not directly comparable
LABBench2
Gemini 3.7 Flash82.1%
Source
Nemotron 3 Ultra—
Not directly comparable
BioMysteryBench (human-solvable)
Gemini 3.7 Flash87.1%
Source
Nemotron 3 Ultra—
Not directly comparable
BioMysteryBench (human-difficult)
Gemini 3.7 Flash43.5%
Source
Nemotron 3 Ultra—
Not directly comparable
GPQA Diamond (Vals)
Gemini 3.7 Flash93.9%
Source
Nemotron 3 Ultra86.1%
Source
Gemini 3.7 Flash leads this result
MMLU-Pro (Vals)
Gemini 3.7 Flash90.1%
Source
Nemotron 3 Ultra85.8%
Source
Gemini 3.7 Flash leads this result
GPQA
Gemini 3.7 Flash—
Nemotron 3 Ultra87%
Source
Not directly comparable
GPQA-D
Gemini 3.7 Flash—
Nemotron 3 Ultra87.0%
Source
Not directly comparable
HLE
Gemini 3.7 Flash—
Nemotron 3 Ultra26.7%
Source
Not directly comparable
HLE w/o tools
Gemini 3.7 Flash—
Nemotron 3 Ultra26.7%
Source
Not directly comparable
MMLU-Pro
Gemini 3.7 Flash—
Nemotron 3 Ultra86.8%
Source
Not directly comparable

Multilingual

MMLU-ProX
Gemini 3.7 Flash—
Nemotron 3 Ultra83%
Source
Not directly comparable

Instruction following

IFBench
Gemini 3.7 Flash—
Nemotron 3 Ultra81.7%
Source
Not directly comparable

42 public results · 7 shared

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Last updated September 27, 2026

Gemini 3.7 Flash vs Nemotron 3 Ultra

Decision reading

Which one for your work

Coding work

Agentic work

Long documents

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

Which one for a specific job

What is actually comparable

Shape of the matched evidence

Category results, on a stated basis

Agentic

Coding

Knowledge

Reasoning

Multimodal

Multilingual

Instruction following

Math

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

If you already use one of these models

Questions

Which is better, Gemini 3.7 Flash or Nemotron 3 Ultra?

Which is better for coding, Gemini 3.7 Flash or Nemotron 3 Ultra?

Which is better for agentic tasks, Gemini 3.7 Flash or Nemotron 3 Ultra?

Which costs less, Gemini 3.7 Flash or Nemotron 3 Ultra?

Which has the larger context window, Gemini 3.7 Flash or Nemotron 3 Ultra?

Benchmark evidence

Agentic

Coding

Reasoning

Multimodal

Knowledge

Multilingual

Instruction following

Related comparisons

Watch Gemini 3.7 Flash vs Nemotron 3 Ultra