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Nemotron 3.5 Super VL vs Grok 4.7

vs
Grok 4.7

xAI

89#39
Signal-by-Signal Comparison
SignalNemotron 3.5 Super VLDeltaGrok 4.7
Capabilities
83
-17
100
Pricing
100
+6
94
Context window size
96
+5
90
Recency
100
--
100
Output Capacity
96
+5
90
Benchmarks
0
-86
86
Overall Result
3 wins
of 6
2 wins
Nemotron 3.5 Super VL wins 3 of 6 signals

Score History

Score History (7 data points)
Nemotron 3.5 Super VLGrok 4.7
Nemotron 3.5 Super VL

40

current score

Leader

Grok 4.7

right now

Grok 4.7

88.8

current score

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

Nemotron 3.5 Super VL

NVIDIA

Best Value
Per request$0.000400
Daily$1.33
Monthly$40.00
Annual$480.00

Grok 4.7

xAI

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

Nemotron 3.5 Super VL saves you $460.00/month

That's $5520.00/year compared to Grok 4.7 at your current usage level of 100K calls/month.

92% cheaper
Choose Nemotron 3.5 Super VL for cost optimization

Nemotron 3.5 Super VL pricing:
Input:$0.15/M tokens
Output:$0.50/M tokens
Grok 4.7 pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Nemotron 3.5 Super VL

NVIDIA

40

Composite Score

Winner
Grok 4.7

xAI

89

Composite Score

Signal-by-Signal Comparison
MetricNemotron 3.5 Super VLGrok 4.7Winner
Overall Score
40
89
Grok 4.7
Rank#196#39
Grok 4.7
Quality Rank#196#39
Grok 4.7
Adoption Rank#196#39
Grok 4.7
Parameters------
Context Window1049K500K
Nemotron 3.5 Super VL
Pricing$0.15/$0.50/M$2.00/$6.00/M--
Signal Scores
Capabilities
83
100
Grok 4.7
Pricing
100
94
Nemotron 3.5 Super VL
Context window size
96
90
Nemotron 3.5 Super VL
Recency
100
100
Nemotron 3.5 Super VL
Output Capacity
96
90
Nemotron 3.5 Super VL
Benchmarks--
86
Grok 4.7
Benchmark Head-to-Head(11 benchmarks)
Nemotron 3.5: 0Grok 4.7: 0
Nemotron 3.5
Grok 4.7
Normalized 0-100%
MMLU
-91.5%
MMLU-Pro
-83.5%
GPQA Diamond
-82%
MATH-500
-95%
HumanEval
-95.5%
SWE-bench Verified
-70%
AIME 2024
-88%
IFEval
-91%
BBH
-90%
Arena Elo
-1462
LiveBench
-73%
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 Super VLEntry Level

Scores 40/100 (rank #196), placing it in the top 33% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Grok 4.7Elite Tier

Scores 89/100 (rank #39), placing it in the top 87% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Grok 4.7 has a 49-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Nemotron 3.5 Super VL when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Grok 4.7 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Nemotron 3.5 Super VLBest Value
Input cost$0.15/M tokens
Output cost$0.50/M tokens
Cost per quality point$0.016
Est. monthly (1M tokens/day)$9.75
Grok 4.7
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.090
Est. monthly (1M tokens/day)$120.00

Nemotron 3.5 Super VL offers 92% better value per quality point. At 1M tokens/day, you'd spend $9.75/month with Nemotron 3.5 Super VL vs $120.00/month with Grok 4.7 - a $110.25 monthly difference.

Latency & Speed
Nemotron 3.5 Super VLFaster
Speed score0/100
Grok 4.7
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 Super VL

Customer support chatbot

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

Nemotron 3.5 Super VL

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Nemotron 3.5 Super VL

Batch data extraction

Lower output pricing ($0.50/M) reduces costs when processing thousands of records daily

Nemotron 3.5 Super VL

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

Grok 4.7

Image understanding & OCR

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

Nemotron 3.5 Super VL
Which Should You Choose?
Our recommendation:
Grok 4.7

Grok 4.7 clearly outperforms Nemotron 3.5 Super VL with a significant 48.8-point lead. For most general use cases, Grok 4.7 is the stronger choice. However, Nemotron 3.5 Super VL may still excel in niche scenarios.

by NVIDIA

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 92% 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
Grok 4.7
Recommended

by xAI

Consider for specialized use cases.

Capability Comparison
CapabilityNemotron 3.5 Super VLGrok 4.7
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Nemotron 3.5 Super VL

NVIDIA

Best Value
$0.8700
estimated monthly cost

Grok 4.7

xAI

$10.80
estimated monthly cost

Nemotron 3.5 Super VL saves you $9.93/month

That's 92% cheaper than Grok 4.7 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 Super VLGrok 4.7
Context Window1.0M500K
Max Output Tokens943,718450,000
Open SourceYesNo
CreatedOct 15, 2026Sep 21, 2026
Last updated: 35m ago

相关对比

Nemotron 3.5 Super VL vs Grok 4.7 (2026) | LM Market Cap