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GPT-5.6 Terra Pro (batch) vs Mercury 2

vs
Mercury 2

Inception

61#205
Signal-by-Signal Comparison
SignalGPT-5.6 Terra Pro (batch)DeltaMercury 2
Capabilities
100
+33
67
Benchmarks
88
+28
60
Pricing
94
-5
99
Context window size
96
+15
81
Recency
100
--
100
Output Capacity
85
+7
78
Overall Result
4 wins
of 6
1 wins
GPT-5.6 Terra Pro (batch) wins 4 of 6 signals

Score History

Score History (25 data points)
GPT-5.6 Terra Pro (batch)Mercury 2
GPT-5.6 Terra Pro (batch)

89

current score

Leader

GPT-5.6 Terra Pro (batch)

right now

Mercury 2

61

current score

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

GPT-5.6 Terra Pro (batch)

OpenAI

Per request$0.004000
Daily$13.33
Monthly$400.00
Annual$4800.00

Mercury 2

Inception

Best Value
Per request$0.000625
Daily$2.08
Monthly$62.50
Annual$750.00

Mercury 2 saves you $337.50/month

That's $4050.00/year compared to GPT-5.6 Terra Pro (batch) at your current usage level of 100K calls/month.

84% cheaper
Choose Mercury 2 for cost optimization

GPT-5.6 Terra Pro (batch) pricing:
Input:$1.00/M tokens
Output:$6.00/M tokens
Mercury 2 pricing:
Input:$0.25/M tokens
Output:$0.75/M tokens
Winner
GPT-5.6 Terra Pro (batch)

OpenAI

89

Composite Score

Mercury 2

Inception

61

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 Terra Pro (batch)Mercury 2Winner
Overall Score
89
61
GPT-5.6 Terra Pro (batch)
Rank#37#205
GPT-5.6 Terra Pro (batch)
Quality Rank#37#205
GPT-5.6 Terra Pro (batch)
Adoption Rank#37#205
GPT-5.6 Terra Pro (batch)
Parameters------
Context Window1050K128K
GPT-5.6 Terra Pro (batch)
Pricing$1.00/$6.00/M$0.25/$0.75/M--
Signal Scores
Capabilities
100
67
GPT-5.6 Terra Pro (batch)
Benchmarks
88
60
GPT-5.6 Terra Pro (batch)
Pricing
94
99
Mercury 2
Context window size
96
81
GPT-5.6 Terra Pro (batch)
Recency
100
100
GPT-5.6 Terra Pro (batch)
Output Capacity
85
78
GPT-5.6 Terra Pro (batch)
Benchmark Head-to-Head(11 benchmarks)
GPT-5.6 Terra: 1Mercury 2: 0
GPT-5.6 Terra
Mercury 2
Normalized 0-100%
MMLU
93%-
MMLU-Pro
84.5%-
GPQA Diamond
85%-
MATH-500
92.5%-
HumanEval
96.5%-
SWE-bench Verified
75%-
IFEval
92%-
BBH
90.5%-
Arena Elo
14651347
LiveBench
76%-
HLE
35%-
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-5.6 Terra Pro (batch)Elite Tier

Scores 89/100 (rank #37), placing it in the top 88% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Mercury 2Competitive

Scores 61/100 (rank #205), placing it in the top 30% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Terra Pro (batch) has a 28-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-5.6 Terra Pro (batch) when you need:

  • 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

Choose Mercury 2 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5.6 Terra Pro (batch)
Input cost$1.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.079
Est. monthly (1M tokens/day)$105.00
Mercury 2Best Value
Input cost$0.25/M tokens
Output cost$0.75/M tokens
Cost per quality point$0.016
Est. monthly (1M tokens/day)$15.00

Mercury 2 offers 86% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with Mercury 2 vs $105.00/month with GPT-5.6 Terra Pro (batch) - a $90.00 monthly difference.

Latency & Speed
GPT-5.6 Terra Pro (batch)Faster
Speed score0/100
Mercury 2
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-5.6 Terra Pro (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Mercury 2 also offers lower per-token costs for high-volume support

GPT-5.6 Terra Pro (batch)

Long document analysis

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

GPT-5.6 Terra Pro (batch)

Batch data extraction

Lower output pricing ($0.75/M) reduces costs when processing thousands of records daily

Mercury 2

Creative writing & content

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

GPT-5.6 Terra Pro (batch)

Image understanding & OCR

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

GPT-5.6 Terra Pro (batch)
Which Should You Choose?
Our recommendation:
GPT-5.6 Terra Pro (batch)

GPT-5.6 Terra Pro (batch) clearly outperforms Mercury 2 with a significant 28-point lead. For most general use cases, GPT-5.6 Terra Pro (batch) is the stronger choice. However, Mercury 2 may still excel in niche scenarios.

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 Inception

  • Choose for Cost - 86% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.6 Terra Pro (batch)Mercury 2
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5.6 Terra Pro (batch)

OpenAI

$9.00
estimated monthly cost

Mercury 2

Inception

Best Value
$1.35
estimated monthly cost

Mercury 2 saves you $7.65/month

That's 85% cheaper than GPT-5.6 Terra Pro (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-5.6 Terra Pro (batch)Mercury 2
Context Window1.1M128K
Max Output Tokens128,00050,000
Open SourceNoNo
CreatedJul 9, 2026Mar 4, 2026
Last updated: 37m ago

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GPT-5.6 Terra Pro (batch) vs Mercury 2 (2026) | LM Market Cap