Skip to content

DeepSeek V3.1 vs Nemotron 3 Super

DeepSeek V3.1

DeepSeek

72#151
vs
Nemotron 3 Super

NVIDIA

40#284
Signal-by-Signal Comparison
SignalDeepSeek V3.1DeltaNemotron 3 Super
Capabilities
67
--
67
Benchmarks
69
+69
0
Pricing
99
0
100
Context window size
83
-12
95
Recency
69
-31
100
Output Capacity
75
+5
70
Overall Result
2 wins
of 6
3 wins
Nemotron 3 Super wins 3 of 6 signals

Score History

Score History (25 data points)
DeepSeek V3.1Nemotron 3 Super
DeepSeek V3.1

71.8

current score

Leader

DeepSeek V3.1

right now

Nemotron 3 Super

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

DeepSeek V3.1

DeepSeek

Per request$0.000725
Daily$2.42
Monthly$72.50
Annual$870.00

Nemotron 3 Super

NVIDIA

Best Value
Per request$0.000285
Daily$0.95
Monthly$28.50
Annual$342.00

Nemotron 3 Super saves you $44.00/month

That's $528.00/year compared to DeepSeek V3.1 at your current usage level of 100K calls/month.

61% cheaper
Choose Nemotron 3 Super for cost optimization

DeepSeek V3.1 pricing:
Input:$0.25/M tokens
Output:$0.95/M tokens
Nemotron 3 Super pricing:
Input:$0.08/M tokens
Output:$0.40/M tokens
Winner
DeepSeek V3.1

DeepSeek

72

Composite Score

Nemotron 3 Super

NVIDIA

40

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V3.1Nemotron 3 SuperWinner
Overall Score
72
40
DeepSeek V3.1
Rank#151#284
DeepSeek V3.1
Quality Rank#151#284
DeepSeek V3.1
Adoption Rank#151#284
DeepSeek V3.1
Parameters--120B--
Context Window164K1000K
Nemotron 3 Super
Pricing$0.25/$0.95/M$0.08/$0.40/M--
Signal Scores
Capabilities
67
67
DeepSeek V3.1
Benchmarks
69
--
DeepSeek V3.1
Pricing
99
100
Nemotron 3 Super
Context window size
83
95
Nemotron 3 Super
Recency
69
100
Nemotron 3 Super
Output Capacity
75
70
DeepSeek V3.1
Benchmark Head-to-Head(1 benchmarks)
DeepSeek V3.1: 0Nemotron 3: 0
DeepSeek V3.1
Nemotron 3
Normalized 0-100%
Arena Elo
1418-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

DeepSeek V3.1Strong Performer

Scores 72/100 (rank #151), placing it in the top 48% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Nemotron 3 SuperEntry Level

Scores 40/100 (rank #284), placing it in the top 2% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

DeepSeek V3.1 has a 32-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose DeepSeek V3.1 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Nemotron 3 Super when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
DeepSeek V3.1
Input cost$0.25/M tokens
Output cost$0.95/M tokens
Cost per quality point$0.017
Est. monthly (1M tokens/day)$18.00
Nemotron 3 SuperBest Value
Input cost$0.08/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.012
Est. monthly (1M tokens/day)$7.27

Nemotron 3 Super offers 60% better value per quality point. At 1M tokens/day, you'd spend $7.27/month with Nemotron 3 Super vs $18.00/month with DeepSeek V3.1 - a $10.73 monthly difference.

Latency & Speed
DeepSeek V3.1Faster
Speed score0/100
Nemotron 3 Super
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

DeepSeek V3.1

Customer support chatbot

Suitable for user-facing chat with competitive response times. Nemotron 3 Super also offers lower per-token costs for high-volume support

DeepSeek V3.1

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Nemotron 3 Super

Batch data extraction

Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily

Nemotron 3 Super

Creative writing & content

Higher overall composite score (72/100) correlates with better nuance, coherence, and style in long-form content

DeepSeek V3.1
Which Should You Choose?
Our recommendation:
DeepSeek V3.1

DeepSeek V3.1 clearly outperforms Nemotron 3 Super with a significant 31.799999999999997-point lead. For most general use cases, DeepSeek V3.1 is the stronger choice. However, Nemotron 3 Super may still excel in niche scenarios.

DeepSeek V3.1
Recommended

by DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by NVIDIA

  • Choose for Cost - 60% lower pricing; better value at scale
Capability Comparison
CapabilityDeepSeek V3.1Nemotron 3 Super
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

DeepSeek V3.1

DeepSeek

$1.59
estimated monthly cost

Nemotron 3 Super

NVIDIA

Best Value
$0.6330
estimated monthly cost

Nemotron 3 Super saves you $0.9570/month

That's 60% cheaper than DeepSeek V3.1 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterDeepSeek V3.1Nemotron 3 Super
Context Window164K1M
Max Output Tokens32,76816,384
Open SourceYesYes
CreatedAug 21, 2025Mar 11, 2026
Last updated: 34m ago

Related comparisons

DeepSeek V3.1 vs Nemotron 3 Super (2026) | LM Market Cap