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Gemini 2.5 Pro vs Gemini 2.5 Pro Preview 05-06

Signal-by-Signal Comparison
SignalGemini 2.5 ProDeltaGemini 2.5 Pro Preview 05-06
Capabilities
100
--
100
Benchmarks
80
--
80
Pricing
90
--
90
Context window size
86
--
86
Recency
62
+8
55
Output Capacity
80
--
80
Overall Result
1 wins
of 6
0 wins
Gemini 2.5 Pro wins 1 of 6 signals

Score History

Score History (21 data points)
Gemini 2.5 ProGemini 2.5 Pro Preview 05-06
Gemini 2.5 Pro

83.1

current score

Leader

Tied

right now

Gemini 2.5 Pro Preview 05-06

83.1

current score

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

Gemini 2.5 Pro

Google

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

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 pricing:
Input:$1.25/M tokens
Output:$10.00/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

Google

83

Composite Score

Tie
Gemini 2.5 Pro Preview 05-06

Google

83

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 ProGemini 2.5 Pro Preview 05-06Winner
Overall Score
83
83
--
Rank#36#38
Gemini 2.5 Pro
Quality Rank#36#38
Gemini 2.5 Pro
Adoption Rank#36#38
Gemini 2.5 Pro
Parameters------
Context Window1049K1049K--
Pricing$1.25/$10.00/M$1.25/$10.00/M--
Signal Scores
Capabilities
100
100
Gemini 2.5 Pro
Benchmarks
80
80
Gemini 2.5 Pro
Pricing
90
90
Gemini 2.5 Pro
Context window size
86
86
Gemini 2.5 Pro
Recency
62
55
Gemini 2.5 Pro
Output Capacity
80
80
Gemini 2.5 Pro
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 ProStrong Performer

Scores 83/100 (rank #36), placing it in the top 88% of all 290 models tracked.

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

Scores 83/100 (rank #38), placing it in the top 87% 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 when you need:

  • 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 ProBest Value
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 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

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
Gemini 2.5 ProFaster
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

Customer support chatbot

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

Gemini 2.5 Pro

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 data extraction

Lower output pricing ($10.00/M) reduces costs when processing thousands of records daily

Gemini 2.5 Pro

Creative writing & content

Higher overall composite score (83/100) correlates with better nuance, coherence, and style in long-form content

Gemini 2.5 Pro

Image understanding & OCR

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

Gemini 2.5 Pro
Which Should You Choose?
Our recommendation:
Gemini 2.5 Pro

Gemini 2.5 Pro 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.

Gemini 2.5 Pro
Recommended

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 0% 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 ProGemini 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

Google

$14.25
estimated monthly cost

Gemini 2.5 Pro Preview 05-06

Google

$14.25
estimated monthly cost

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGemini 2.5 ProGemini 2.5 Pro Preview 05-06
Context Window1.0M1.0M
Max Output Tokens65,53665,535
Open SourceNoNo
CreatedJun 17, 2025May 7, 2025
Last updated: 10m ago

相关对比

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