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Llama 3.3 70B Instruct vs Nova Premier 1.0

Signal-by-Signal Comparison
SignalLlama 3.3 70B InstructDeltaNova Premier 1.0
Capabilities
50
--
50
Benchmarks
71
+71
0
Pricing
100
+12
88
Context window size
81
-14
95
Recency
22
-60
82
Output Capacity
70
-5
75
Overall Result
2 wins
of 6
3 wins
Nova Premier 1.0 wins 3 of 6 signals

Score History

Score History (25 data points)
Llama 3.3 70B InstructNova Premier 1.0
Llama 3.3 70B Instruct

66.8

current score

Leader

Llama 3.3 70B Instruct

right now

Nova Premier 1.0

40

current score

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

Llama 3.3 70B Instruct

Meta

Best Value
Per request$0.000260
Daily$0.87
Monthly$26.00
Annual$312.00

Nova Premier 1.0

Amazon

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

Llama 3.3 70B Instruct saves you $849.00/month

That's $10188.00/year compared to Nova Premier 1.0 at your current usage level of 100K calls/month.

97% cheaper
Choose Llama 3.3 70B Instruct for cost optimization

Llama 3.3 70B Instruct pricing:
Input:$0.10/M tokens
Output:$0.32/M tokens
Nova Premier 1.0 pricing:
Input:$2.50/M tokens
Output:$12.50/M tokens
Winner
Llama 3.3 70B Instruct

Meta

67

Composite Score

Nova Premier 1.0

Amazon

40

Composite Score

Signal-by-Signal Comparison
MetricLlama 3.3 70B InstructNova Premier 1.0Winner
Overall Score
67
40
Llama 3.3 70B Instruct
Rank#180#305
Llama 3.3 70B Instruct
Quality Rank#180#305
Llama 3.3 70B Instruct
Adoption Rank#180#305
Llama 3.3 70B Instruct
Parameters70B----
Context Window131K1000K
Nova Premier 1.0
Pricing$0.10/$0.32/M$2.50/$12.50/M--
Signal Scores
Capabilities
50
50
Llama 3.3 70B Instruct
Benchmarks
71
--
Llama 3.3 70B Instruct
Pricing
100
88
Llama 3.3 70B Instruct
Context window size
81
95
Nova Premier 1.0
Recency
22
82
Nova Premier 1.0
Output Capacity
70
75
Nova Premier 1.0
Benchmark Head-to-Head(9 benchmarks)
Llama 3.3: 0Nova Premier: 0
Llama 3.3
Nova Premier
Normalized 0-100%
MMLU
86.3%-
MMLU-Pro
68.9%-
GPQA Diamond
50.5%-
MATH-500
77%-
HumanEval
88.4%-
IFEval
92.1%-
BBH
82.8%-
Arena Elo
1243-
BigCodeBench
46.9%-
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.

Llama 3.3 70B InstructCompetitive

Scores 67/100 (rank #180), placing it in the top 38% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Nova Premier 1.0Entry Level

Scores 40/100 (rank #305), placing it in the top -5% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Llama 3.3 70B Instruct has a 27-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Llama 3.3 70B Instruct when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model

Choose Nova Premier 1.0 when you need:

  • Processing long documents or large codebases (1000K token context)
  • Multimodal workflows that require image understanding
Cost-Performance Analysis
Llama 3.3 70B InstructBest Value
Input cost$0.10/M tokens
Output cost$0.32/M tokens
Cost per quality point$0.006
Est. monthly (1M tokens/day)$6.30
Nova Premier 1.0
Input cost$2.50/M tokens
Output cost$12.50/M tokens
Cost per quality point$0.375
Est. monthly (1M tokens/day)$225.00

Llama 3.3 70B Instruct offers 97% better value per quality point. At 1M tokens/day, you'd spend $6.30/month with Llama 3.3 70B Instruct vs $225.00/month with Nova Premier 1.0 - a $218.70 monthly difference.

Latency & Speed
Llama 3.3 70B InstructFaster
Speed score0/100
Nova Premier 1.0
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

Llama 3.3 70B Instruct

Customer support chatbot

Suitable for user-facing chat with competitive response times. Llama 3.3 70B Instruct also offers lower per-token costs for high-volume support

Llama 3.3 70B Instruct

Long document analysis

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

Nova Premier 1.0

Batch data extraction

Lower output pricing ($0.32/M) reduces costs when processing thousands of records daily

Llama 3.3 70B Instruct

Creative writing & content

Higher overall composite score (67/100) correlates with better nuance, coherence, and style in long-form content

Llama 3.3 70B Instruct

Image understanding & OCR

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

Nova Premier 1.0
Which Should You Choose?
Our recommendation:
Llama 3.3 70B Instruct

Llama 3.3 70B Instruct clearly outperforms Nova Premier 1.0 with a significant 26.799999999999997-point lead. For most general use cases, Llama 3.3 70B Instruct is the stronger choice. However, Nova Premier 1.0 may still excel in niche scenarios.

by Meta

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 97% 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 Amazon

Consider for specialized use cases.

Capability Comparison
CapabilityLlama 3.3 70B InstructNova Premier 1.0
Vision (Image Input)differs
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Llama 3.3 70B Instruct

Meta

Best Value
$0.5640
estimated monthly cost

Nova Premier 1.0

Amazon

$19.50
estimated monthly cost

Llama 3.3 70B Instruct saves you $18.94/month

That's 97% cheaper than Nova Premier 1.0 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
ParameterLlama 3.3 70B InstructNova Premier 1.0
Context Window131K1M
Max Output Tokens16,38432,000
Open SourceYesNo
CreatedDec 6, 2024Oct 31, 2025
Last updated: 39m ago

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Llama 3.3 70B Instruct vs Nova Premier 1.0 (2026) | LM Market Cap