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Mistral Large vs Nemotron 3.5 Content Safety (free)

Signal-by-Signal Comparison
SignalMistral LargeDeltaNemotron 3.5 Content Safety (free)
Capabilities
50
--
50
Benchmarks
68
+68
0
Pricing
94
-6
100
Context window size
81
--
81
Recency
0
-100
100
Output Capacity
80
+17
63
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (32 data points)
Mistral LargeNemotron 3.5 Content Safety (free)
Mistral Large

65.9

current score

Leader

Mistral Large

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)

Mistral Large

Mistral AI

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

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 $500.00/month

That's $6000.00/year compared to Mistral Large at your current usage level of 100K calls/month.

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

Mistral Large pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Nemotron 3.5 Content Safety (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
Mistral Large

Mistral AI

66

Composite Score

Nemotron 3.5 Content Safety (free)

NVIDIA

40

Composite Score

Signal-by-Signal Comparison
MetricMistral LargeNemotron 3.5 Content Safety (free)Winner
Overall Score
66
40
Mistral Large
Rank#191#303
Mistral Large
Quality Rank#191#303
Mistral Large
Adoption Rank#191#303
Mistral Large
Parameters------
Context Window128K128K--
Pricing$2.00/$6.00/MFree--
Signal Scores
Capabilities
50
50
Mistral Large
Benchmarks
68
--
Mistral Large
Pricing
94
100
Nemotron 3.5 Content Safety (free)
Context window size
81
81
Mistral Large
Recency
0
100
Nemotron 3.5 Content Safety (free)
Output Capacity
80
63
Mistral Large
Benchmark Head-to-Head(10 benchmarks)
Mistral Large: 0Nemotron 3.5: 0
Mistral Large
Nemotron 3.5
Normalized 0-100%
MMLU
84.7%-
MMLU-Pro
69.4%-
GPQA Diamond
52.5%-
MATH-500
76%-
HumanEval
92%-
IFEval
86.5%-
BBH
80%-
Arena Elo
1280-
LiveBench
57.1%-
BigCodeBench
30%-
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.

Mistral LargeCompetitive

Scores 66/100 (rank #191), placing it in the top 34% 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

Mistral Large has a 26-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Mistral Large when you need:

  • Agentic applications using tool/function calling

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
Mistral Large
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.121
Est. monthly (1M tokens/day)$120.00
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
Mistral LargeFaster
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

Mistral Large

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

Mistral Large

Long document analysis

Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass

Mistral Large

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 (66/100) correlates with better nuance, coherence, and style in long-form content

Mistral Large

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:
Mistral Large

Mistral Large clearly outperforms Nemotron 3.5 Content Safety (free) with a significant 25.900000000000006-point lead. For most general use cases, Mistral Large is the stronger choice. However, Nemotron 3.5 Content Safety (free) may still excel in niche scenarios.

Mistral Large
Recommended

by Mistral AI

  • 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
CapabilityMistral LargeNemotron 3.5 Content Safety (free)
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mistral Large

Mistral AI

$10.80
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 $10.80/month

That's 100% cheaper than Mistral Large 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
ParameterMistral LargeNemotron 3.5 Content Safety (free)
Context Window128K128K
Max Output Tokens102,4008,192
Open SourceNoYes
CreatedFeb 26, 2024Jun 4, 2026
Last updated: 56m ago

相关对比

Mistral Large vs Nemotron 3.5 Content Safety (free) (2026) | LM Market Cap