Skip to content

Gemini 3.5 Flash Lite (batch) vs GPT-6.1 Terra (batch)

Signal-by-Signal Comparison
SignalGemini 3.5 Flash Lite (batch)DeltaGPT-6.1 Terra (batch)
Capabilities
100
--
100
Benchmarks
77
+77
0
Pricing
99
+1
98
Context window size
96
0
96
Recency
100
--
100
Output Capacity
77
-5
82
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (13 data points)
Gemini 3.5 Flash Lite (batch)GPT-6.1 Terra (batch)
Gemini 3.5 Flash Lite (batch)

79

current score

Leader

Gemini 3.5 Flash Lite (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)

Gemini 3.5 Flash Lite (batch)

Google

Best Value
Per request$0.000775
Daily$2.58
Monthly$77.50
Annual$930.00

GPT-6.1 Terra (batch)

OpenAI

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

Gemini 3.5 Flash Lite (batch) saves you $97.50/month

That's $1170.00/year compared to GPT-6.1 Terra (batch) at your current usage level of 100K calls/month.

56% cheaper
Choose Gemini 3.5 Flash Lite (batch) for cost optimization

Gemini 3.5 Flash Lite (batch) pricing:
Input:$0.15/M tokens
Output:$1.25/M tokens
GPT-6.1 Terra (batch) pricing:
Input:$0.50/M tokens
Output:$2.50/M tokens
Winner
Gemini 3.5 Flash Lite (batch)

Google

79

Composite Score

GPT-6.1 Terra (batch)

OpenAI

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.5 Flash Lite (batch)GPT-6.1 Terra (batch)Winner
Overall Score
79
40
Gemini 3.5 Flash Lite (batch)
Rank#90#178
Gemini 3.5 Flash Lite (batch)
Quality Rank#90#178
Gemini 3.5 Flash Lite (batch)
Adoption Rank#90#178
Gemini 3.5 Flash Lite (batch)
Parameters------
Context Window1049K1050K
GPT-6.1 Terra (batch)
Pricing$0.15/$1.25/M$0.50/$2.50/M--
Signal Scores
Capabilities
100
100
Gemini 3.5 Flash Lite (batch)
Benchmarks
77
--
Gemini 3.5 Flash Lite (batch)
Pricing
99
98
Gemini 3.5 Flash Lite (batch)
Context window size
96
96
GPT-6.1 Terra (batch)
Recency
100
100
Gemini 3.5 Flash Lite (batch)
Output Capacity
77
82
GPT-6.1 Terra (batch)
Benchmark Head-to-Head(1 benchmarks)
Gemini 3.5: 0GPT-6.1 Terra: 0
Gemini 3.5
GPT-6.1 Terra
Normalized 0-100%
Arena Elo
1477-
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 3.5 Flash Lite (batch)Strong Performer

Scores 79/100 (rank #90), placing it in the top 69% of all 290 models tracked.

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

Scores 40/100 (rank #178), placing it in the top 39% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.5 Flash Lite (batch) has a 39-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 3.5 Flash Lite (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving

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

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 3.5 Flash Lite (batch)Best Value
Input cost$0.15/M tokens
Output cost$1.25/M tokens
Cost per quality point$0.018
Est. monthly (1M tokens/day)$21.00
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

Gemini 3.5 Flash Lite (batch) offers 53% better value per quality point. At 1M tokens/day, you'd spend $21.00/month with Gemini 3.5 Flash Lite (batch) vs $45.00/month with GPT-6.1 Terra (batch) - a $24.00 monthly difference.

Latency & Speed
Gemini 3.5 Flash Lite (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

Gemini 3.5 Flash Lite (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 3.5 Flash Lite (batch) also offers lower per-token costs for high-volume support

Gemini 3.5 Flash Lite (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 ($1.25/M) reduces costs when processing thousands of records daily

Gemini 3.5 Flash Lite (batch)

Creative writing & content

Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.5 Flash Lite (batch)

Image understanding & OCR

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

Gemini 3.5 Flash Lite (batch)
Which Should You Choose?
Our recommendation:
Gemini 3.5 Flash Lite (batch)

Gemini 3.5 Flash Lite (batch) clearly outperforms GPT-6.1 Terra (batch) with a significant 39-point lead. For most general use cases, Gemini 3.5 Flash Lite (batch) is the stronger choice. However, GPT-6.1 Terra (batch) may still excel in niche scenarios.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 53% 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 3.5 Flash Lite (batch)GPT-6.1 Terra (batch)
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 3.5 Flash Lite (batch)

Google

Best Value
$1.77
estimated monthly cost

GPT-6.1 Terra (batch)

OpenAI

$3.90
estimated monthly cost

Gemini 3.5 Flash Lite (batch) saves you $2.13/month

That's 55% 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
ParameterGemini 3.5 Flash Lite (batch)GPT-6.1 Terra (batch)
Context Window1.0M1.1M
Max Output Tokens65,536128,000
Open SourceNoNo
CreatedJul 21, 2026Oct 26, 2026
Last updated: 3m ago

Related comparisons

Gemini 3.5 Flash Lite (batch) vs GPT-6.1 Terra (batch) (2026) | LM Market Cap