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Nemotron 3.5 Content Safety vs Qwen3.8 27B

vs
Qwen3.8 27B

Alibaba

40#263
Signal-by-Signal Comparison
SignalNemotron 3.5 Content SafetyDeltaQwen3.8 27B
Capabilities
50
-33
83
Pricing
100
+2
98
Context window size
81
-14
95
Recency
100
--
100
Output Capacity
81
-5
86
Overall Result
1 wins
of 5
3 wins
Qwen3.8 27B wins 3 of 5 signals

Score History

Score History (13 data points)
Nemotron 3.5 Content SafetyQwen3.8 27B
Nemotron 3.5 Content Safety

40

current score

Leader

Tied

right now

Qwen3.8 27B

40

current score

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

Nemotron 3.5 Content Safety

NVIDIA

Best Value
Per request$0.000300
Daily$1.00
Monthly$30.00
Annual$360.00

Qwen3.8 27B

Alibaba

Per request$0.001087
Daily$3.63
Monthly$108.75
Annual$1305.00

Nemotron 3.5 Content Safety saves you $78.75/month

That's $945.00/year compared to Qwen3.8 27B at your current usage level of 100K calls/month.

72% cheaper
Choose Nemotron 3.5 Content Safety for cost optimization

Nemotron 3.5 Content Safety pricing:
Input:$0.20/M tokens
Output:$0.20/M tokens
Qwen3.8 27B pricing:
Input:$0.15/M tokens
Output:$1.88/M tokens
Tie
Nemotron 3.5 Content Safety

NVIDIA

40

Composite Score

Tie
Qwen3.8 27B

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricNemotron 3.5 Content SafetyQwen3.8 27BWinner
Overall Score
40
40
--
Rank#306#263
Qwen3.8 27B
Quality Rank#306#263
Qwen3.8 27B
Adoption Rank#306#263
Qwen3.8 27B
Parameters--27B--
Context Window131K1024K
Qwen3.8 27B
Pricing$0.20/$0.20/M$0.15/$1.88/M--
Signal Scores
Capabilities
50
83
Qwen3.8 27B
Pricing
100
98
Nemotron 3.5 Content Safety
Context window size
81
95
Qwen3.8 27B
Recency
100
100
Nemotron 3.5 Content Safety
Output Capacity
81
86
Qwen3.8 27B
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.

Nemotron 3.5 Content SafetyEntry Level

Scores 40/100 (rank #306), placing it in the top -5% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.8 27BEntry Level

Scores 40/100 (rank #263), placing it in the top 10% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Nemotron 3.5 Content Safety when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Qwen3.8 27B when you need:

  • Processing long documents or large codebases (1024K token context)
  • 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
Cost-Performance Analysis
Nemotron 3.5 Content SafetyBest Value
Input cost$0.20/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.010
Est. monthly (1M tokens/day)$6.00
Qwen3.8 27B
Input cost$0.15/M tokens
Output cost$1.88/M tokens
Cost per quality point$0.051
Est. monthly (1M tokens/day)$30.38

Nemotron 3.5 Content Safety offers 80% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Nemotron 3.5 Content Safety vs $30.38/month with Qwen3.8 27B - a $24.38 monthly difference.

Latency & Speed
Nemotron 3.5 Content SafetyFaster
Speed score0/100
Qwen3.8 27B
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

Nemotron 3.5 Content Safety

Customer support chatbot

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

Nemotron 3.5 Content Safety

Long document analysis

Larger context window (1024K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.8 27B

Batch data extraction

Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily

Nemotron 3.5 Content Safety

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Nemotron 3.5 Content Safety

Image understanding & OCR

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

Nemotron 3.5 Content Safety
Which Should You Choose?
Our recommendation:
Nemotron 3.5 Content Safety

Nemotron 3.5 Content Safety and Qwen3.8 27B are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by NVIDIA

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 80% lower pricing; better value at scale
  • 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 Alibaba

Consider for specialized use cases.

Capability Comparison
CapabilityNemotron 3.5 Content SafetyQwen3.8 27B
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Nemotron 3.5 Content Safety

NVIDIA

Best Value
$0.6000
estimated monthly cost

Qwen3.8 27B

Alibaba

$2.52
estimated monthly cost

Nemotron 3.5 Content Safety saves you $1.92/month

That's 76% cheaper than Qwen3.8 27B 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
ParameterNemotron 3.5 Content SafetyQwen3.8 27B
Context Window131K1.0M
Max Output Tokens117,964235,929
Open SourceYesYes
CreatedJun 4, 2026Aug 14, 2026
Last updated: 35m ago

相关对比

Nemotron 3.5 Content Safety vs Qwen3.8 27B (2026) | LM Market Cap