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Gemini 2.5 Pro Preview 05-06 vs Gemini 2.5 Pro Preview 06-05

Signal-by-Signal Comparison
SignalGemini 2.5 Pro Preview 05-06DeltaGemini 2.5 Pro Preview 06-05
Capabilities
100
--
100
Benchmarks
80
--
80
Pricing
90
--
90
Context window size
86
--
86
Recency
55
-5
60
Output Capacity
80
--
80
Overall Result
0 wins
of 6
1 wins
Gemini 2.5 Pro Preview 06-05 wins 1 of 6 signals

Score History

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

83.1

current score

Leader

Tied

right now

Gemini 2.5 Pro Preview 06-05

83.1

current score

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

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 Preview 06-05

Google

Per request$0.006250
Daily$20.83
Monthly$625.00
Annual$7500.00
Gemini 2.5 Pro Preview 05-06 pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
Gemini 2.5 Pro Preview 06-05 pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
Tie
Gemini 2.5 Pro Preview 05-06

Google

83

Composite Score

Tie
Gemini 2.5 Pro Preview 06-05

Google

83

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 Pro Preview 05-06Gemini 2.5 Pro Preview 06-05Winner
Overall Score
83
83
--
Rank#38#37
Gemini 2.5 Pro Preview 06-05
Quality Rank#38#37
Gemini 2.5 Pro Preview 06-05
Adoption Rank#38#37
Gemini 2.5 Pro Preview 06-05
Parameters------
Context Window1049K1049K--
Pricing$1.25/$10.00/M$1.25/$10.00/M--
Signal Scores
Capabilities
100
100
Gemini 2.5 Pro Preview 05-06
Benchmarks
80
80
Gemini 2.5 Pro Preview 05-06
Pricing
90
90
Gemini 2.5 Pro Preview 05-06
Context window size
86
86
Gemini 2.5 Pro Preview 05-06
Recency
55
60
Gemini 2.5 Pro Preview 06-05
Output Capacity
80
80
Gemini 2.5 Pro Preview 05-06
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 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
Gemini 2.5 Pro Preview 06-05Strong Performer

Scores 83/100 (rank #37), placing it in the top 88% 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 Preview 05-06 when you need:

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

Choose Gemini 2.5 Pro Preview 06-05 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 2.5 Pro Preview 05-06Best 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 06-05
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 Pro Preview 05-06Faster
Speed score0/100
Gemini 2.5 Pro Preview 06-05
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 Preview 05-06

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 2.5 Pro Preview 05-06 also offers lower per-token costs for high-volume support

Gemini 2.5 Pro Preview 05-06

Long document analysis

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

Gemini 2.5 Pro Preview 05-06

Batch data extraction

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

Gemini 2.5 Pro Preview 05-06

Creative writing & content

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

Gemini 2.5 Pro Preview 05-06

Image understanding & OCR

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

Gemini 2.5 Pro Preview 05-06
Which Should You Choose?
Our recommendation:
Gemini 2.5 Pro Preview 05-06

Gemini 2.5 Pro Preview 05-06 and Gemini 2.5 Pro Preview 06-05 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 - 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 Pro Preview 05-06Gemini 2.5 Pro Preview 06-05
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 Preview 05-06

Google

$14.25
estimated monthly cost

Gemini 2.5 Pro Preview 06-05

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 Pro Preview 05-06Gemini 2.5 Pro Preview 06-05
Context Window1.0M1.0M
Max Output Tokens65,53565,536
Open SourceNoNo
CreatedMay 7, 2025Jun 5, 2025
Last updated: 36m ago

相关对比

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