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GPT-4 vs GPT-6.1 Terra (batch)

GPT-4

OpenAI

60#160
vs
Signal-by-Signal Comparison
SignalGPT-4DeltaGPT-6.1 Terra (batch)
Capabilities
50
-50
100
Benchmarks
61
+61
0
Pricing
40
-57
98
Context window size
62
-33
96
Recency
0
-100
100
Output Capacity
58
-24
82
Overall Result
1 wins
of 6
5 wins
GPT-6.1 Terra (batch) wins 5 of 6 signals

Score History

Score History (38 data points)
GPT-4GPT-6.1 Terra (batch)
GPT-4

60

current score

Leader

GPT-4

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

OpenAI

Per request$0.060000
Daily$200.00
Monthly$6000.00
Annual$72000.00

GPT-6.1 Terra (batch)

OpenAI

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

GPT-6.1 Terra (batch) saves you $5825.00/month

That's $69900.00/year compared to GPT-4 at your current usage level of 100K calls/month.

97% cheaper
Choose GPT-6.1 Terra (batch) for cost optimization

GPT-4 pricing:
Input:$30.00/M tokens
Output:$60.00/M tokens
GPT-6.1 Terra (batch) pricing:
Input:$0.50/M tokens
Output:$2.50/M tokens
Winner
GPT-4

OpenAI

60

Composite Score

GPT-6.1 Terra (batch)

OpenAI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-4GPT-6.1 Terra (batch)Winner
Overall Score
60
40
GPT-4
Rank#160#183
GPT-4
Quality Rank#160#183
GPT-4
Adoption Rank#160#183
GPT-4
Parameters------
Context Window8K1050K
GPT-6.1 Terra (batch)
Pricing$30.00/$60.00/M$0.50/$2.50/M--
Signal Scores
Capabilities
50
100
GPT-6.1 Terra (batch)
Benchmarks
61
--
GPT-4
Pricing
40
98
GPT-6.1 Terra (batch)
Context window size
62
96
GPT-6.1 Terra (batch)
Recency
0
100
GPT-6.1 Terra (batch)
Output Capacity
58
82
GPT-6.1 Terra (batch)
Benchmark Head-to-Head(2 benchmarks)
GPT-4: 0GPT-6.1 Terra: 0
GPT-4
GPT-6.1 Terra
Normalized 0-100%
HumanEval
88.4%-
BigCodeBench
46%-
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-4Competitive

Scores 60/100 (rank #160), placing it in the top 45% of all 290 models tracked.

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

Scores 40/100 (rank #183), placing it in the top 37% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-4 has a 20-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 when you need:

  • Budget-friendly applications with moderate quality requirements

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

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1050K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-4
Input cost$30.00/M tokens
Output cost$60.00/M tokens
Cost per quality point$1.500
Est. monthly (1M tokens/day)$1350.00
GPT-6.1 Terra (batch)Best Value
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-6.1 Terra (batch) offers 97% better value per quality point. At 1M tokens/day, you'd spend $45.00/month with GPT-6.1 Terra (batch) vs $1350.00/month with GPT-4 - a $1305.00 monthly difference.

Latency & Speed
GPT-4Faster
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

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-6.1 Terra (batch) also offers lower per-token costs for high-volume support

GPT-4

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 ($2.50/M) reduces costs when processing thousands of records daily

GPT-6.1 Terra (batch)

Creative writing & content

Higher overall composite score (60/100) correlates with better nuance, coherence, and style in long-form content

GPT-4

Image understanding & OCR

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

GPT-6.1 Terra (batch)
Which Should You Choose?
Our recommendation:
GPT-4

GPT-4 clearly outperforms GPT-6.1 Terra (batch) with a significant 20-point lead. For most general use cases, GPT-4 is the stronger choice. However, GPT-6.1 Terra (batch) may still excel in niche scenarios.

GPT-4
Recommended

by OpenAI

  • 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 OpenAI

  • Choose for Cost - 97% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4GPT-6.1 Terra (batch)
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4

OpenAI

$126.00
estimated monthly cost

GPT-6.1 Terra (batch)

OpenAI

Best Value
$3.90
estimated monthly cost

GPT-6.1 Terra (batch) saves you $122.10/month

That's 97% cheaper than GPT-4 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-4GPT-6.1 Terra (batch)
Context Window8K1.1M
Max Output Tokens4,096128,000
Open SourceNoNo
CreatedMay 28, 2023Oct 26, 2026
Last updated: 15m ago

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GPT-4 vs GPT-6.1 Terra (batch) (2026) | LM Market Cap