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Every score has a dated snapshot.

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  3. NVIDIA: Nemotron 3.5 Lightning (free) vs OpenAI: o3 Mini

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

NVIDIA: Nemotron 3.5 Lightning (free) vs OpenAI: o3 Mini benchmark

In this head-to-head showdown, NVIDIA: Nemotron 3.5 Lightning (free) is more budget-friendly at $0/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both NVIDIA: Nemotron 3.5 Lightning (free) and OpenAI: o3 Mini present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

NVIDIA: Nemotron 3.5 Lightning (free) holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
OpenAI: o3 MiniTop code solve rate
ReasoningGPQA / Live
OpenAI: o3 MiniTop logical accuracy
Best Value$/1M Tok
OpenAI: o3 MiniLowest API billing cost
Speed / TokTok/Sec
OpenAI: o3 MiniFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

NVIDIA: Nemotron 3.5 Lightning (free) (3)OpenAI: o3 Mini (0)
NVIDIA: Nemotron 3.5 Lightning (free)
3 of 3 Wins
✓Input price✓Output price✓Context window
OpenAI: o3 Mini
0 of 3 Wins
Competitive baseline across remaining benchmarks
nvidia
Leads 3 of 3
NVIDIA: Nemotron 3.5 Lightning (free)

Auto-discovered from OpenRouter (nvidia/nemotron-3.5-lightning:free). Preview until a second source matches.

In: $0 · Out: $0/1M
OpenAI
OpenAI: o3 Mini

Auto-discovered from OpenRouter (openai/o3-mini). Preview until a second source matches.

o3-miniElo 1,560In: $1.1 · Out: $4.4/1M

OpenAI: o3 Mini Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay
290 ms
Standard
CoT Tokens
~1,500
Internal reasoning
Cost / 1k
$8.47
4.5× base bill
Accuracy Boost
+4.5%
STEM & Logic
Top Rival Showdowns for NVIDIA: Nemotron 3.5 Lightning (free)
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderNVIDIA: Nemotron 3.5 Lightning (free) Wins

NVIDIA: Nemotron 3.5 Lightning (free)

$0 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

NVIDIA: Nemotron 3.5 Lightning (free) (3)vsOpenAI: o3 Mini (7)
NVIDIA: Nemotron 3.5 Lightning (free): 3W (30%)Overall: OpenAI: o3 MiniOpenAI: o3 Mini: 7W (70%)
← NVIDIA: Nemotron 3.5 Lightning (free)OpenAI: o3 Mini →
🏆OpenAI: o3 Mini Leads(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
NVIDIA: Nemotron 3.5 Lightning (free)vsOpenAI: o3 Mini
Preference Elo
—vs1,560
Coding Elo
—vs1,585
SWE-bench
—vs78.5%
LiveBench
—vs72.4%
GPQA Diamond
—vs87.2%
NVIDIA: Nemotron 3.5 Lightning (free): 0WOpenAI: o3 Mini: 5W
🏆OpenAI: o3 Mini Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
NVIDIA: Nemotron 3.5 Lightning (free)vsOpenAI: o3 Mini
Output speed
—vs92 tok/s
Time to first token
—vs290 ms
NVIDIA: Nemotron 3.5 Lightning (free): 0WOpenAI: o3 Mini: 2W
🏆NVIDIA: Nemotron 3.5 Lightning (free) Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
NVIDIA: Nemotron 3.5 Lightning (free)vsOpenAI: o3 Mini
Output price
$0/1Mvs$4.4/1M+$4.4/1M
Input price
$0/1Mvs$1.1/1M+$1.1/1M
Context window
1Mvs200k+800k
NVIDIA: Nemotron 3.5 Lightning (free): 3WOpenAI: o3 Mini: 0W

Side-by-Side Benchmark Matrix

NVIDIA: Nemotron 3.5 Lightning (free)OpenAI: o3 Mini
Preference Elo
NVIDIA: Nemotron 3.5 Lightning (free)—
OpenAI: o3 Mini1,560
Coding Elo
NVIDIA: Nemotron 3.5 Lightning (free)—
OpenAI: o3 Mini1,585
LiveBench
NVIDIA: Nemotron 3.5 Lightning (free)—
OpenAI: o3 Mini72.4%
SWE-bench
NVIDIA: Nemotron 3.5 Lightning (free)—
OpenAI: o3 Mini78.5%
GPQA Diamond
NVIDIA: Nemotron 3.5 Lightning (free)—
OpenAI: o3 Mini87.2%
Time to first token
NVIDIA: Nemotron 3.5 Lightning (free)—
OpenAI: o3 Mini290 ms
Output speed
NVIDIA: Nemotron 3.5 Lightning (free)—
OpenAI: o3 Mini92 tok/s
Input priceNVIDIA: Nemotron 3.5 Lightning (free) +$1.1/1M
NVIDIA: Nemotron 3.5 Lightning (free)$0/1M
OpenAI: o3 Mini$1.1/1M
Output priceNVIDIA: Nemotron 3.5 Lightning (free) +$4.4/1M
NVIDIA: Nemotron 3.5 Lightning (free)$0/1M
OpenAI: o3 Mini$4.4/1M
Context windowNVIDIA: Nemotron 3.5 Lightning (free) +800k
NVIDIA: Nemotron 3.5 Lightning (free)1M
OpenAI: o3 Mini200k
BenchmarkNVIDIA: Nemotron 3.5 Lightning (free)OpenAI: o3 MiniAdvantage Delta
Preference Elo—
1,560
lmarena · Aug 17, 2026
—
Coding Elo—
1,585
lmarena · Aug 17, 2026
—
LiveBench—
72.4%
livebench · Aug 17, 2026
—
SWE-bench—
78.5%
swebench · Aug 17, 2026
—
GPQA Diamond—
87.2%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
290 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
92 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0/1M
openrouter · Aug 17, 2026
$1.1/1M
openrouter · Aug 17, 2026
+$1.1/1M
Output price
$0/1M
openrouter · Aug 17, 2026
$4.4/1M
openrouter · Aug 17, 2026
+$4.4/1M
Context window
1M
openrouter · Aug 17, 2026
200k
openrouter · Aug 17, 2026
+800k

Key Selection Recommendations

  • 1
    NVIDIA: Nemotron 3.5 Lightning (free):Pick NVIDIA: Nemotron 3.5 Lightning (free) when you are optimizing output cost.
  • 2
    NVIDIA: Nemotron 3.5 Lightning (free):Pick NVIDIA: Nemotron 3.5 Lightning (free) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatNVIDIA: Nemotron 3.5 Lightning (free)

Lower output list price ($0/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGNVIDIA: Nemotron 3.5 Lightning (free)

Larger window (1M).

Screenshots / visionOpenAI: o3 Mini

OpenAI: o3 Mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatNVIDIA: Nemotron 3.5 Lightning (free)Lower output list price ($0/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGNVIDIA: Nemotron 3.5 Lightning (free)Larger window (1M).
Screenshots / visionOpenAI: o3 MiniOpenAI: o3 Mini is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
nvidia

NVIDIA: Nemotron 3.5 Lightning (free)

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$0/1M
Output / 1M Tokens$0/1M
OpenAI

OpenAI: o3 Mini

Elo 1,560
SWE-bench78.5%
Speed (tok/s)92 tok/s
Input / 1M Tokens$1.1/1M
Output / 1M Tokens$4.4/1M

Frequently Asked Questions

Which is better overall, NVIDIA: Nemotron 3.5 Lightning (free) or OpenAI: o3 Mini?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, NVIDIA: Nemotron 3.5 Lightning (free) or OpenAI: o3 Mini?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
NVIDIA: Nemotron 3.5 Lightning (free) output tokens are $0/1M versus $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, NVIDIA: Nemotron 3.5 Lightning (free) or OpenAI: o3 Mini?
We do not have TTFT for both models.
Which has the larger context window?
NVIDIA: Nemotron 3.5 Lightning (free) accepts 1M tokens versus 200k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. NVIDIA: Nemotron 3.5 Lightning (free) and OpenAI: o3 Mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All NVIDIA: Nemotron 3.5 Lightning (free) matchups →|All OpenAI: o3 Mini matchups →
OpenAI: o3 Mini vs OpenAI o1-mini (previous gpt-mini)OpenAI: o3 Mini vs GPT-5 mini (next gpt-mini)GPT-5 vs OpenAI: o3 MiniGPT-4.5 Orion vs OpenAI: o3 MiniGPT-5.6 Sol vs OpenAI: o3 MiniGPT-5.6 Terra vs OpenAI: o3 Mini