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Gemini 2.5 Pro Preview 06-05 vs Nemotron 3.5 Lightning

Nemotron 3.5 Lightning costs 68.0x less per output token than Gemini 2.5 Pro Preview 06-05 ($0.147 vs $10.00 per million). Updated October 21, 2026; 2 benchmarks have a result for both.

Gemini 2.5 Pro Preview 06-05Google
Coding
No data
Overall
No data
Output $/M
$10.00
2
Nemotron 3.5 LightningNVIDIA
Coding
22.6
Overall
No data
Output $/M
$0.147
0
vs boards won of 2 shared

Gemini 2.5 Pro Preview 06-05 or Nemotron 3.5 Lightning: which to pick

Only Nemotron 3.5 Lightning has a coding score, 22.6 on the Vibe Coding Index; Gemini 2.5 Pro Preview 06-05 has none, so the two cannot be ranked on coding.

Pick Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 262K tokens) and work measured by GPQA Diamond (Artificial Analysis run) or Humanity's Last Exam (Artificial Analysis run), where it leads.

Shared results
2
Gemini 2.5 Pro Preview 06-05 only
13
Nemotron 3.5 Lightning only
18
Like-for-like categories
1 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 2.5 Pro Preview 06-05 not benchmarked, Nemotron 3.5 Lightning 22.6 from 2 benchmarks.
Widest category
Reasoning, 9.3 points apart on average over 2 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Gemini 2.5 Pro Preview 06-05 19.9% against Nemotron 3.5 Lightning 10.6%, 9.3 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro Preview 06-05 $10.00 against Nemotron 3.5 Lightning $0.147 per million output tokens, 68.0x apart.
Context window
Gemini 2.5 Pro Preview 06-05 takes 1.05M tokens, Nemotron 3.5 Lightning 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 2.5 Pro Preview 06-05BarsNemotron 3.5 LightningTies
Reasoning20
All shared boards20
CodingDirectional onlySix of these boards feed the Vibe Coding Index14 boards, none shared
Coding benchmarks for Gemini 2.5 Pro Preview 06-05 and Nemotron 3.5 Lightning
BenchmarkGemini 2.5 Pro Preview 06-05Nemotron 3.5 LightningLeader
Aider polyglot83.1%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
AA Coding IndexNot measured26.8Only Nemotron 3.5 Lightning measured
LiveCodeBench (Vals AI)79.2%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SWE-bench Verified (Vals AI)Not measured52.8%Only Nemotron 3.5 Lightning measured
Vibe Code Bench (Vals AI)Not measured0.0%Only Nemotron 3.5 Lightning measured
Code migration (Vals AI)Not measured3.0%Only Nemotron 3.5 Lightning measured
ProgramBench (Vals AI)Not measured0.0%Only Nemotron 3.5 Lightning measured
Terminal-Bench 2.1 (Vals AI)Not measured10.9%Only Nemotron 3.5 Lightning measured
CyberBench (Vals AI)Not measured29.5%Only Nemotron 3.5 Lightning measured
LiveCodeBench (Artificial Analysis run)77.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SciCodeNot measured32.1%Only Nemotron 3.5 Lightning measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
ALE-BenchNot measured769.2Only Nemotron 3.5 Lightning measured
SciCode7.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 25 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Gemini 2.5 Pro Preview 06-05 and Nemotron 3.5 Lightning
BenchmarkGemini 2.5 Pro Preview 06-05Nemotron 3.5 LightningLeader
AA Intelligence IndexNot measured12.9Only Nemotron 3.5 Lightning measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for Gemini 2.5 Pro Preview 06-05 and Nemotron 3.5 Lightning
BenchmarkGemini 2.5 Pro Preview 06-05Nemotron 3.5 LightningLeader
AA Agentic IndexNot measured3.5Only Nemotron 3.5 Lightning measured
Finance Agent (Vals AI)Not measured18.5%Only Nemotron 3.5 Lightning measured
Tax Agent Bench (Vals AI)Not measured2.6%Only Nemotron 3.5 Lightning measured
Legal Research Bench (Vals AI)Not measured2.9%Only Nemotron 3.5 Lightning measured
Excel Modeling Benchmark (Vals AI)Not measured17.0%Only Nemotron 3.5 Lightning measured
METR time horizons55.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Remote Labor Index0.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
DeepResearch Bench42.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Gemini 2.5 Pro Preview 06-05 and Nemotron 3.5 Lightning
BenchmarkGemini 2.5 Pro Preview 06-05Nemotron 3.5 LightningLeader
GPQA Diamond (Artificial Analysis run)83.6%74.3%Gemini 2.5 Pro Preview 06-05
Humanity's Last Exam (Artificial Analysis run)19.9%10.6%Gemini 2.5 Pro Preview 06-05
GPQA Diamond (Epoch AI run)84.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SimpleBench62.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
VPCT46.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 17 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Gemini 2.5 Pro Preview 06-05 and Nemotron 3.5 Lightning
BenchmarkGemini 2.5 Pro Preview 06-05Nemotron 3.5 LightningLeader
Neither model has a result on 13 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Knowledge benchmarks for Gemini 2.5 Pro Preview 06-05 and Nemotron 3.5 Lightning
BenchmarkGemini 2.5 Pro Preview 06-05Nemotron 3.5 LightningLeader
CorpFin (Vals AI)Not measured54.2%Only Nemotron 3.5 Lightning measured
MMLU Pro (Artificial Analysis run)85.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 16 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemini 2.5 Pro Preview 06-05 and Nemotron 3.5 Lightning
BenchmarkGemini 2.5 Pro Preview 06-05Nemotron 3.5 LightningLeader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
General benchmarks for Gemini 2.5 Pro Preview 06-05 and Nemotron 3.5 Lightning
BenchmarkGemini 2.5 Pro Preview 06-05Nemotron 3.5 LightningLeader
MedScribe (Vals AI)Not measured4.3%Only Nemotron 3.5 Lightning measured
Long context reasoning (AA-LCR)Not measured60.3%Only Nemotron 3.5 Lightning measured
Fiction.LiveBench91.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 43 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro Preview 06-05 and Nemotron 3.5 Lightning
BenchmarkGemini 2.5 Pro Preview 06-05Nemotron 3.5 LightningLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 2.5 Pro Preview 06-05$0.0063Fits in one request
Nemotron 3.5 Lightning$0.0001Fits in one request

Nemotron 3.5 Lightning costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro Preview 06-05$0.092Fits in one request
Nemotron 3.5 Lightning$0.0031Fits in one request

Nemotron 3.5 Lightning costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro Preview 06-05$0.350Fits in one request
Nemotron 3.5 Lightning$0.012Fits in one request

Nemotron 3.5 Lightning costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 2.5 Pro Preview 06-05 and Nemotron 3.5 Lightning
SpecificationGoogle Gemini 2.5 Pro Preview 06-05NVIDIA Nemotron 3.5 Lightning
MakerGoogleNVIDIA
WeightsNo public weights listedOpen weights
ReleasedJune 5, 2025August 11, 2026
Context window1.05M262K
Input $/Mtok$1.25$0.0534
Output $/Mtok$10.00$0.147
Coding indexNot benchmarked22.6
Independent measurements behind it02
Cost per solved taskNot computable$0.06
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro Preview 06-05 better than Nemotron 3.5 Lightning for coding?

Only Nemotron 3.5 Lightning has a coding score, 22.6 on the Vibe Coding Index; Gemini 2.5 Pro Preview 06-05 has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 262K tokens) and work measured by GPQA Diamond (Artificial Analysis run) or Humanity's Last Exam (Artificial Analysis run), where it leads.

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Nemotron 3.5 Lightning?

Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens; Nemotron 3.5 Lightning costs $0.0534 and $0.147. Cost per solved task is known for Nemotron 3.5 Lightning only.

Which has the bigger context window, Gemini 2.5 Pro Preview 06-05 or Nemotron 3.5 Lightning?

Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 2.5 Pro Preview 06-05 vs Nemotron 3.5 Lightning comparison based on?

2 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro Preview 06-05's coding index rests on 0 independent benchmarks and Nemotron 3.5 Lightning's on 2. Where only one model has a result, the page says so instead of naming a winner.

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