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Claude Opus 4.8 (batch) vs Nemotron Nano 12B 2 VL (free)

Signal-by-Signal Comparison
SignalClaude Opus 4.8 (batch)DeltaNemotron Nano 12B 2 VL (free)
Capabilities
100
+33
67
Benchmarks
93
+93
0
Pricing
88
-12
100
Context window size
95
+14
81
Recency
100
+19
81
Output Capacity
85
--
85
Overall Result
4 wins
of 6
1 wins
Claude Opus 4.8 (batch) wins 4 of 6 signals

Score History

Score History (25 data points)
Claude Opus 4.8 (batch)Nemotron Nano 12B 2 VL (free)
Claude Opus 4.8 (batch)

94.6

current score

Leader

Claude Opus 4.8 (batch)

right now

Nemotron Nano 12B 2 VL (free)

40

current score

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

Claude Opus 4.8 (batch)

Anthropic

Per request$0.008750
Daily$29.17
Monthly$875.00
Annual$10500.00

Nemotron Nano 12B 2 VL (free)

NVIDIA

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

Nemotron Nano 12B 2 VL (free) saves you $875.00/month

That's $10500.00/year compared to Claude Opus 4.8 (batch) at your current usage level of 100K calls/month.

100% cheaper
Choose Nemotron Nano 12B 2 VL (free) for cost optimization

Claude Opus 4.8 (batch) pricing:
Input:$2.50/M tokens
Output:$12.50/M tokens
Nemotron Nano 12B 2 VL (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
Claude Opus 4.8 (batch)

Anthropic

95

Composite Score

Nemotron Nano 12B 2 VL (free)

NVIDIA

40

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.8 (batch)Nemotron Nano 12B 2 VL (free)Winner
Overall Score
95
40
Claude Opus 4.8 (batch)
Rank#10#309
Claude Opus 4.8 (batch)
Quality Rank#10#309
Claude Opus 4.8 (batch)
Adoption Rank#10#309
Claude Opus 4.8 (batch)
Parameters--12B--
Context Window1000K128K
Claude Opus 4.8 (batch)
Pricing$2.50/$12.50/MFree--
Signal Scores
Capabilities
100
67
Claude Opus 4.8 (batch)
Benchmarks
93
--
Claude Opus 4.8 (batch)
Pricing
88
100
Nemotron Nano 12B 2 VL (free)
Context window size
95
81
Claude Opus 4.8 (batch)
Recency
100
81
Claude Opus 4.8 (batch)
Output Capacity
85
85
Claude Opus 4.8 (batch)
Benchmark Head-to-Head(4 benchmarks)
Claude Opus: 0Nemotron Nano: 0
Claude Opus
Nemotron Nano
Normalized 0-100%
GPQA Diamond
93.6%-
SWE-bench Verified
88.6%-
Arena Elo
1479-
HLE
49.8%-
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.

Claude Opus 4.8 (batch)Elite Tier

Scores 95/100 (rank #10), placing it in the top 97% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Nemotron Nano 12B 2 VL (free)Entry Level

Scores 40/100 (rank #309), placing it in the top -6% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Claude Opus 4.8 (batch) has a 55-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Claude Opus 4.8 (batch) when you need:

  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Nemotron Nano 12B 2 VL (free) 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
Cost-Performance Analysis
Claude Opus 4.8 (batch)
Input cost$2.50/M tokens
Output cost$12.50/M tokens
Cost per quality point$0.159
Est. monthly (1M tokens/day)$225.00
Nemotron Nano 12B 2 VL (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
Claude Opus 4.8 (batch)Faster
Speed score0/100
Nemotron Nano 12B 2 VL (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

Claude Opus 4.8 (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Nemotron Nano 12B 2 VL (free) also offers lower per-token costs for high-volume support

Claude Opus 4.8 (batch)

Long document analysis

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

Claude Opus 4.8 (batch)

Batch data extraction

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

Nemotron Nano 12B 2 VL (free)

Creative writing & content

Higher overall composite score (95/100) correlates with better nuance, coherence, and style in long-form content

Claude Opus 4.8 (batch)

Image understanding & OCR

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

Claude Opus 4.8 (batch)
Which Should You Choose?
Our recommendation:
Claude Opus 4.8 (batch)

Claude Opus 4.8 (batch) clearly outperforms Nemotron Nano 12B 2 VL (free) with a significant 54.599999999999994-point lead. For most general use cases, Claude Opus 4.8 (batch) is the stronger choice. However, Nemotron Nano 12B 2 VL (free) may still excel in niche scenarios.

by Anthropic

  • 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
CapabilityClaude Opus 4.8 (batch)Nemotron Nano 12B 2 VL (free)
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Claude Opus 4.8 (batch)

Anthropic

$19.50
estimated monthly cost

Nemotron Nano 12B 2 VL (free)

NVIDIA

Best Value
$0.000000
estimated monthly cost

Nemotron Nano 12B 2 VL (free) saves you $19.50/month

That's 100% cheaper than Claude Opus 4.8 (batch) 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
ParameterClaude Opus 4.8 (batch)Nemotron Nano 12B 2 VL (free)
Context Window1M128K
Max Output Tokens128,000128,000
Open SourceNoYes
CreatedMay 27, 2026Oct 28, 2025
Last updated: 10m ago

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Claude Opus 4.8 (batch) vs Nemotron Nano 12B 2 VL (free) (2026) | LM Market Cap