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GPT-4.1 Nano (batch) vs GPT-6.1 Terra (batch)

Signal-by-Signal Comparison
SignalGPT-4.1 Nano (batch)DeltaGPT-6.1 Terra (batch)
Capabilities
83
-17
100
Benchmarks
70
+70
0
Pricing
100
+2
98
Context window size
96
0
96
Recency
29
-71
100
Output Capacity
72
-9
82
Overall Result
2 wins
of 6
4 wins
GPT-6.1 Terra (batch) wins 4 of 6 signals

Score History

Score History (13 data points)
GPT-4.1 Nano (batch)GPT-6.1 Terra (batch)
GPT-4.1 Nano (batch)

58.9

current score

Leader

GPT-4.1 Nano (batch)

right now

GPT-6.1 Terra (batch)

40

current score

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

GPT-4.1 Nano (batch)

OpenAI

Best Value
Per request$0.000150
Daily$0.50
Monthly$15.00
Annual$180.00

GPT-6.1 Terra (batch)

OpenAI

Per request$0.001750
Daily$5.83
Monthly$175.00
Annual$2100.00

GPT-4.1 Nano (batch) saves you $160.00/month

That's $1920.00/year compared to GPT-6.1 Terra (batch) at your current usage level of 100K calls/month.

91% cheaper
Choose GPT-4.1 Nano (batch) for cost optimization

GPT-4.1 Nano (batch) pricing:
Input:$0.05/M tokens
Output:$0.20/M tokens
GPT-6.1 Terra (batch) pricing:
Input:$0.50/M tokens
Output:$2.50/M tokens
Winner
GPT-4.1 Nano (batch)

OpenAI

59

Composite Score

GPT-6.1 Terra (batch)

OpenAI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1 Nano (batch)GPT-6.1 Terra (batch)Winner
Overall Score
59
40
GPT-4.1 Nano (batch)
Rank#162#181
GPT-4.1 Nano (batch)
Quality Rank#162#181
GPT-4.1 Nano (batch)
Adoption Rank#162#181
GPT-4.1 Nano (batch)
Parameters------
Context Window1048K1050K
GPT-6.1 Terra (batch)
Pricing$0.05/$0.20/M$0.50/$2.50/M--
Signal Scores
Capabilities
83
100
GPT-6.1 Terra (batch)
Benchmarks
70
--
GPT-4.1 Nano (batch)
Pricing
100
98
GPT-4.1 Nano (batch)
Context window size
96
96
GPT-6.1 Terra (batch)
Recency
29
100
GPT-6.1 Terra (batch)
Output Capacity
72
82
GPT-6.1 Terra (batch)
Benchmark Head-to-Head(12 benchmarks)
GPT-4.1 Nano: 0GPT-6.1 Terra: 0
GPT-4.1 Nano
GPT-6.1 Terra
Normalized 0-100%
MMLU
89.2%-
MMLU-Pro
81.8%-
GPQA Diamond
56%-
MATH-500
78.5%-
HumanEval
91.5%-
SWE-bench Verified
54.6%-
IFEval
88.2%-
BBH
84%-
Arena Elo
1300-
LiveBench
64.5%-
HLE
5.4%-
BigCodeBench
31.8%-
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.

GPT-4.1 Nano (batch)Competitive

Scores 59/100 (rank #162), placing it in the top 44% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-6.1 Terra (batch)Entry Level

Scores 40/100 (rank #181), placing it in the top 38% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-4.1 Nano (batch) has a 19-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-4.1 Nano (batch) when you need:

  • High-volume production workloads where API costs must be minimized

Choose GPT-6.1 Terra (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-4.1 Nano (batch)Best Value
Input cost$0.05/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.004
Est. monthly (1M tokens/day)$3.75
GPT-6.1 Terra (batch)
Input cost$0.50/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.075
Est. monthly (1M tokens/day)$45.00

GPT-4.1 Nano (batch) offers 92% better value per quality point. At 1M tokens/day, you'd spend $3.75/month with GPT-4.1 Nano (batch) vs $45.00/month with GPT-6.1 Terra (batch) - a $41.25 monthly difference.

Latency & Speed
GPT-4.1 Nano (batch)Faster
Speed score0/100
GPT-6.1 Terra (batch)
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

GPT-4.1 Nano (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4.1 Nano (batch) also offers lower per-token costs for high-volume support

GPT-4.1 Nano (batch)

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-6.1 Terra (batch)

Batch data extraction

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

GPT-4.1 Nano (batch)

Creative writing & content

Higher overall composite score (59/100) correlates with better nuance, coherence, and style in long-form content

GPT-4.1 Nano (batch)

Image understanding & OCR

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

GPT-4.1 Nano (batch)
Which Should You Choose?
Our recommendation:
GPT-4.1 Nano (batch)

GPT-4.1 Nano (batch) clearly outperforms GPT-6.1 Terra (batch) with a significant 18.9-point lead. For most general use cases, GPT-4.1 Nano (batch) is the stronger choice. However, GPT-6.1 Terra (batch) may still excel in niche scenarios.

by OpenAI

  • 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

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-4.1 Nano (batch)GPT-6.1 Terra (batch)
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4.1 Nano (batch)

OpenAI

Best Value
$0.3300
estimated monthly cost

GPT-6.1 Terra (batch)

OpenAI

$3.90
estimated monthly cost

GPT-4.1 Nano (batch) saves you $3.57/month

That's 92% cheaper than GPT-6.1 Terra (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
ParameterGPT-4.1 Nano (batch)GPT-6.1 Terra (batch)
Context Window1.0M1.1M
Max Output Tokens32,768128,000
Open SourceNoNo
CreatedApr 14, 2025Oct 26, 2026
Last updated: 3m ago

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GPT-4.1 Nano (batch) vs GPT-6.1 Terra (batch) (2026) | LM Market Cap