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Gemini 2.5 Pro (batch) vs Gemini 2.5 Pro Preview 05-06

Signal-by-Signal Comparison
SignalGemini 2.5 Pro (batch)DeltaGemini 2.5 Pro Preview 05-06
Capabilities
100
--
100
Benchmarks
80
--
80
Pricing
95
+5
90
Context window size
96
--
96
Recency
59
+8
51
Output Capacity
80
--
80
Overall Result
2 wins
of 6
0 wins
Gemini 2.5 Pro (batch) wins 2 of 6 signals

Score History

Score History (24 data points)
Gemini 2.5 Pro (batch)Gemini 2.5 Pro Preview 05-06
Gemini 2.5 Pro (batch)

83.5

current score

Leader

Tied

right now

Gemini 2.5 Pro Preview 05-06

83.5

current score

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

Gemini 2.5 Pro (batch)

Google

Best Value
Per request$0.003125
Daily$10.42
Monthly$312.50
Annual$3750.00

Gemini 2.5 Pro Preview 05-06

Google

Per request$0.006250
Daily$20.83
Monthly$625.00
Annual$7500.00

Gemini 2.5 Pro (batch) saves you $312.50/month

That's $3750.00/year compared to Gemini 2.5 Pro Preview 05-06 at your current usage level of 100K calls/month.

50% cheaper
Choose Gemini 2.5 Pro (batch) for cost optimization

Gemini 2.5 Pro (batch) pricing:
Input:$0.63/M tokens
Output:$5.00/M tokens
Gemini 2.5 Pro Preview 05-06 pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
Tie
Gemini 2.5 Pro (batch)

Google

84

Composite Score

Tie
Gemini 2.5 Pro Preview 05-06

Google

84

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 Pro (batch)Gemini 2.5 Pro Preview 05-06Winner
Overall Score
84
84
--
Rank#60#62
Gemini 2.5 Pro (batch)
Quality Rank#60#62
Gemini 2.5 Pro (batch)
Adoption Rank#60#62
Gemini 2.5 Pro (batch)
Parameters------
Context Window1049K1049K--
Pricing$0.63/$5.00/M$1.25/$10.00/M--
Signal Scores
Capabilities
100
100
Gemini 2.5 Pro (batch)
Benchmarks
80
80
Gemini 2.5 Pro (batch)
Pricing
95
90
Gemini 2.5 Pro (batch)
Context window size
96
96
Gemini 2.5 Pro (batch)
Recency
59
51
Gemini 2.5 Pro (batch)
Output Capacity
80
80
Gemini 2.5 Pro (batch)
Benchmark Head-to-Head(12 benchmarks)
Gemini 2.5: 012 tiesGemini 2.5: 0
Gemini 2.5
Gemini 2.5
Normalized 0-100%
MMLU
90.8%90.8%
MMLU-Pro
86%86%
GPQA Diamond
84%84%
MATH-500
95.2%95.2%
SWE-bench Verified
63.8%63.8%
AIME 2024
92%92%
IFEval
87.2%87.2%
BBH
88%88%
Arena Elo
14441444
LiveBench
75.6%75.6%
HLE
35.2%35.2%
BigCodeBench
29.7%29.7%
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 2.5 Pro (batch)Strong Performer

Scores 84/100 (rank #60), placing it in the top 80% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Gemini 2.5 Pro Preview 05-06Strong Performer

Scores 84/100 (rank #62), placing it in the top 79% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-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 2.5 Pro (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 Gemini 2.5 Pro Preview 05-06 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 2.5 Pro (batch)Best Value
Input cost$0.63/M tokens
Output cost$5.00/M tokens
Cost per quality point$0.067
Est. monthly (1M tokens/day)$84.38
Gemini 2.5 Pro Preview 05-06
Input cost$1.25/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.135
Est. monthly (1M tokens/day)$168.75

Gemini 2.5 Pro (batch) offers 50% better value per quality point. At 1M tokens/day, you'd spend $84.38/month with Gemini 2.5 Pro (batch) vs $168.75/month with Gemini 2.5 Pro Preview 05-06 - a $84.38 monthly difference.

Latency & Speed
Gemini 2.5 Pro (batch)Faster
Speed score0/100
Gemini 2.5 Pro Preview 05-06
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 2.5 Pro (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 2.5 Pro (batch) also offers lower per-token costs for high-volume support

Gemini 2.5 Pro (batch)

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Gemini 2.5 Pro (batch)

Batch data extraction

Lower output pricing ($5.00/M) reduces costs when processing thousands of records daily

Gemini 2.5 Pro (batch)

Creative writing & content

Higher overall composite score (84/100) correlates with better nuance, coherence, and style in long-form content

Gemini 2.5 Pro (batch)

Image understanding & OCR

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

Gemini 2.5 Pro (batch)
Which Should You Choose?
Our recommendation:
Gemini 2.5 Pro (batch)

Gemini 2.5 Pro (batch) and Gemini 2.5 Pro Preview 05-06 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 50% 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 Google

Consider for specialized use cases.

Capability Comparison
CapabilityGemini 2.5 Pro (batch)Gemini 2.5 Pro Preview 05-06
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 2.5 Pro (batch)

Google

Best Value
$7.13
estimated monthly cost

Gemini 2.5 Pro Preview 05-06

Google

$14.25
estimated monthly cost

Gemini 2.5 Pro (batch) saves you $7.13/month

That's 50% cheaper than Gemini 2.5 Pro Preview 05-06 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 2.5 Pro (batch)Gemini 2.5 Pro Preview 05-06
Context Window1.0M1.0M
Max Output Tokens65,53665,535
Open SourceNoNo
CreatedJun 17, 2025May 7, 2025
Last updated: 43m ago

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Gemini 2.5 Pro (batch) vs Gemini 2.5 Pro Preview 05-06 (2026) | LM Market Cap