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DeepSeek V3.2 Exp vs Nemotron 3.5 Content Safety (free)

Signal-by-Signal Comparison
SignalDeepSeek V3.2 ExpDeltaNemotron 3.5 Content Safety (free)
Capabilities
67
+17
50
Benchmarks
70
+70
0
Pricing
100
0
100
Context window size
83
+2
81
Recency
68
-32
100
Output Capacity
77
+14
63
Overall Result
4 wins
of 6
2 wins
DeepSeek V3.2 Exp wins 4 of 6 signals

Score History

Score History (32 data points)
DeepSeek V3.2 ExpNemotron 3.5 Content Safety (free)
DeepSeek V3.2 Exp

71.8

current score

Leader

DeepSeek V3.2 Exp

right now

Nemotron 3.5 Content Safety (free)

40

current score

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

DeepSeek V3.2 Exp

DeepSeek

Per request$0.000475
Daily$1.58
Monthly$47.50
Annual$570.00

Nemotron 3.5 Content Safety (free)

NVIDIA

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

Nemotron 3.5 Content Safety (free) saves you $47.50/month

That's $570.00/year compared to DeepSeek V3.2 Exp at your current usage level of 100K calls/month.

100% cheaper
Choose Nemotron 3.5 Content Safety (free) for cost optimization

DeepSeek V3.2 Exp pricing:
Input:$0.27/M tokens
Output:$0.41/M tokens
Nemotron 3.5 Content Safety (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
DeepSeek V3.2 Exp

DeepSeek

72

Composite Score

Nemotron 3.5 Content Safety (free)

NVIDIA

40

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V3.2 ExpNemotron 3.5 Content Safety (free)Winner
Overall Score
72
40
DeepSeek V3.2 Exp
Rank#151#303
DeepSeek V3.2 Exp
Quality Rank#151#303
DeepSeek V3.2 Exp
Adoption Rank#151#303
DeepSeek V3.2 Exp
Parameters------
Context Window164K128K
DeepSeek V3.2 Exp
Pricing$0.27/$0.41/MFree--
Signal Scores
Capabilities
67
50
DeepSeek V3.2 Exp
Benchmarks
70
--
DeepSeek V3.2 Exp
Pricing
100
100
Nemotron 3.5 Content Safety (free)
Context window size
83
81
DeepSeek V3.2 Exp
Recency
68
100
Nemotron 3.5 Content Safety (free)
Output Capacity
77
63
DeepSeek V3.2 Exp
Benchmark Head-to-Head(1 benchmarks)
DeepSeek V3.2: 0Nemotron 3.5: 0
DeepSeek V3.2
Nemotron 3.5
Normalized 0-100%
Arena Elo
1422-
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 V3.2 ExpStrong 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 3.5 Content Safety (free)Entry Level

Scores 40/100 (rank #303), placing it in the top -4% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

DeepSeek V3.2 Exp 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 V3.2 Exp when you need:

  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Nemotron 3.5 Content Safety (free) when you need:

  • High-volume production workloads where API costs must be minimized
  • Multimodal workflows that require image understanding
  • 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 V3.2 Exp
Input cost$0.27/M tokens
Output cost$0.41/M tokens
Cost per quality point$0.009
Est. monthly (1M tokens/day)$10.20
Nemotron 3.5 Content Safety (free)
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
DeepSeek V3.2 ExpFaster
Speed score0/100
Nemotron 3.5 Content Safety (free)
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 V3.2 Exp

Customer support chatbot

Suitable for user-facing chat with competitive response times. Nemotron 3.5 Content Safety (free) also offers lower per-token costs for high-volume support

DeepSeek V3.2 Exp

Long document analysis

Larger context window (164K tokens) can process longer documents, contracts, and research papers in a single pass

DeepSeek V3.2 Exp

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

Nemotron 3.5 Content Safety (free)

Creative writing & content

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

DeepSeek V3.2 Exp

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Nemotron 3.5 Content Safety (free)
Which Should You Choose?
Our recommendation:
DeepSeek V3.2 Exp

DeepSeek V3.2 Exp clearly outperforms Nemotron 3.5 Content Safety (free) with a significant 31.799999999999997-point lead. For most general use cases, DeepSeek V3.2 Exp is the stronger choice. However, Nemotron 3.5 Content Safety (free) may still excel in niche scenarios.

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 - 100% lower pricing; better value at scale
Capability Comparison
CapabilityDeepSeek V3.2 ExpNemotron 3.5 Content Safety (free)
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

DeepSeek V3.2 Exp

DeepSeek

$0.9780
estimated monthly cost

Nemotron 3.5 Content Safety (free)

NVIDIA

Best Value
$0.000000
estimated monthly cost

Nemotron 3.5 Content Safety (free) saves you $0.9780/month

That's 100% cheaper than DeepSeek V3.2 Exp 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 V3.2 ExpNemotron 3.5 Content Safety (free)
Context Window164K128K
Max Output Tokens65,5368,192
Open SourceYesYes
CreatedSep 29, 2025Jun 4, 2026
Last updated: 22m ago

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DeepSeek V3.2 Exp vs Nemotron 3.5 Content Safety (free) (2026) | LM Market Cap