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Gemini 3.1 Pro Preview (batch) vs GPT-5.6 Terra

Signal-by-Signal Comparison
SignalGemini 3.1 Pro Preview (batch)DeltaGPT-5.6 Terra
Capabilities
100
--
100
Benchmarks
92
+4
88
Pricing
94
+2
93
Context window size
96
0
96
Recency
100
--
100
Output Capacity
80
-5
85
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (4 data points)
Gemini 3.1 Pro Preview (batch)GPT-5.6 Terra
Gemini 3.1 Pro Preview (batch)

92.2

current score

Leader

Gemini 3.1 Pro Preview (batch)

right now

GPT-5.6 Terra

89

current score

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

Gemini 3.1 Pro Preview (batch)

Google

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

GPT-5.6 Terra

OpenAI

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

Gemini 3.1 Pro Preview (batch) saves you $100.00/month

That's $1200.00/year compared to GPT-5.6 Terra at your current usage level of 100K calls/month.

20% cheaper
Choose Gemini 3.1 Pro Preview (batch) for cost optimization

Gemini 3.1 Pro Preview (batch) pricing:
Input:$1.00/M tokens
Output:$6.00/M tokens
GPT-5.6 Terra pricing:
Input:$1.25/M tokens
Output:$7.50/M tokens
Winner
Gemini 3.1 Pro Preview (batch)

Google

92

Composite Score

GPT-5.6 Terra

OpenAI

89

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.1 Pro Preview (batch)GPT-5.6 TerraWinner
Overall Score
92
89
Gemini 3.1 Pro Preview (batch)
Rank#16#32
Gemini 3.1 Pro Preview (batch)
Quality Rank#16#32
Gemini 3.1 Pro Preview (batch)
Adoption Rank#16#32
Gemini 3.1 Pro Preview (batch)
Parameters------
Context Window1049K1050K
GPT-5.6 Terra
Pricing$1.00/$6.00/M$1.25/$7.50/M--
Signal Scores
Capabilities
100
100
Gemini 3.1 Pro Preview (batch)
Benchmarks
92
88
Gemini 3.1 Pro Preview (batch)
Pricing
94
93
Gemini 3.1 Pro Preview (batch)
Context window size
96
96
GPT-5.6 Terra
Recency
100
100
Gemini 3.1 Pro Preview (batch)
Output Capacity
80
85
GPT-5.6 Terra
Benchmark Head-to-Head(11 benchmarks)
Gemini 3.1: 4GPT-5.6 Terra: 1
Gemini 3.1
GPT-5.6 Terra
Normalized 0-100%
MMLU
92.6%93%
MMLU-Pro
91.2%84.5%
GPQA Diamond
94.3%85%
MATH-500
-92.5%
HumanEval
-96.5%
SWE-bench Verified
80.6%75%
IFEval
-92%
BBH
-90.5%
Arena Elo
14941465
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.

Gemini 3.1 Pro Preview (batch)Elite Tier

Scores 92/100 (rank #16), placing it in the top 95% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.6 TerraElite Tier

Scores 89/100 (rank #32), placing it in the top 89% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 3-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Gemini 3.1 Pro Preview (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-5.6 Terra when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 3.1 Pro Preview (batch)Best Value
Input cost$1.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.076
Est. monthly (1M tokens/day)$105.00
GPT-5.6 Terra
Input cost$1.25/M tokens
Output cost$7.50/M tokens
Cost per quality point$0.098
Est. monthly (1M tokens/day)$131.25

Gemini 3.1 Pro Preview (batch) offers 20% better value per quality point. At 1M tokens/day, you'd spend $105.00/month with Gemini 3.1 Pro Preview (batch) vs $131.25/month with GPT-5.6 Terra - a $26.25 monthly difference.

Latency & Speed
Gemini 3.1 Pro Preview (batch)Faster
Speed score0/100
GPT-5.6 Terra
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

Gemini 3.1 Pro Preview (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 3.1 Pro Preview (batch) also offers lower per-token costs for high-volume support

Gemini 3.1 Pro Preview (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

Batch data extraction

Lower output pricing ($6.00/M) reduces costs when processing thousands of records daily

Gemini 3.1 Pro Preview (batch)

Creative writing & content

Higher overall composite score (92/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.1 Pro Preview (batch)

Image understanding & OCR

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

Gemini 3.1 Pro Preview (batch)
Which Should You Choose?
Our recommendation:
Gemini 3.1 Pro Preview (batch)

Gemini 3.1 Pro Preview (batch) has a moderate advantage with a 3.200000000000003-point lead in composite score. It wins on more signal dimensions, but GPT-5.6 Terra has specific strengths that could make it the better choice for certain workflows.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 20% 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
CapabilityGemini 3.1 Pro Preview (batch)GPT-5.6 Terra
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 3.1 Pro Preview (batch)

Google

Best Value
$9.00
estimated monthly cost

GPT-5.6 Terra

OpenAI

$11.25
estimated monthly cost

Gemini 3.1 Pro Preview (batch) saves you $2.25/month

That's 20% cheaper than GPT-5.6 Terra 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
ParameterGemini 3.1 Pro Preview (batch)GPT-5.6 Terra
Context Window1.0M1.1M
Max Output Tokens65,536128,000
Open SourceNoNo
CreatedFeb 19, 2026Jul 9, 2026
Last updated: 53m ago

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Gemini 3.1 Pro Preview (batch) vs GPT-5.6 Terra (2026) | LM Market Cap