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Gemini 2.5 Pro vs Qwen3 Max

Gemini 2.5 Pro

Google

84#47
vs
Qwen3 Max

Alibaba

67#128
Signal-by-Signal Comparison
SignalGemini 2.5 ProDeltaQwen3 Max
Capabilities
100
+50
50
Benchmarks
80
+11
69
Pricing
90
-6
96
Context window size
96
+10
86
Recency
59
-18
77
Output Capacity
80
+5
75
Overall Result
4 wins
of 6
2 wins
Gemini 2.5 Pro wins 4 of 6 signals

Score History

Score History (24 data points)
Gemini 2.5 ProQwen3 Max
Gemini 2.5 Pro

83.5

current score

Leader

Gemini 2.5 Pro

right now

Qwen3 Max

67.4

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

Qwen3 Max

Alibaba

Best Value
Per request$0.002730
Daily$9.10
Monthly$273.00
Annual$3276.00

Qwen3 Max saves you $352.00/month

That's $4224.00/year compared to Gemini 2.5 Pro at your current usage level of 100K calls/month.

56% cheaper
Choose Qwen3 Max for cost optimization

Gemini 2.5 Pro pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
Qwen3 Max pricing:
Input:$0.78/M tokens
Output:$3.90/M tokens
Winner
Gemini 2.5 Pro

Google

84

Composite Score

Qwen3 Max

Alibaba

67

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 ProQwen3 MaxWinner
Overall Score
84
67
Gemini 2.5 Pro
Rank#47#128
Gemini 2.5 Pro
Quality Rank#47#128
Gemini 2.5 Pro
Adoption Rank#47#128
Gemini 2.5 Pro
Parameters------
Context Window1049K262K
Gemini 2.5 Pro
Pricing$1.25/$10.00/M$0.78/$3.90/M--
Signal Scores
Capabilities
100
50
Gemini 2.5 Pro
Benchmarks
80
69
Gemini 2.5 Pro
Pricing
90
96
Qwen3 Max
Context window size
96
86
Gemini 2.5 Pro
Recency
59
77
Qwen3 Max
Output Capacity
80
75
Gemini 2.5 Pro
Benchmark Head-to-Head(12 benchmarks)
Gemini 2.5: 1Qwen3 Max: 0
Gemini 2.5
Qwen3 Max
Normalized 0-100%
MMLU
90.8%-
MMLU-Pro
86%85.7%
GPQA Diamond
84%-
MATH-500
95.2%-
SWE-bench Verified
63.8%-
AIME 2024
92%-
IFEval
87.2%-
BBH
88%-
Arena Elo
1444-
LiveBench
75.6%-
HLE
35.2%-
BigCodeBench
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 84/100 (rank #47), placing it in the top 84% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 MaxCompetitive

Scores 67/100 (rank #128), placing it in the top 56% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 2.5 Pro has a 16-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 2.5 Pro when you need:

  • Processing long documents or large codebases (1049K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3 Max when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
Gemini 2.5 Pro
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
Qwen3 MaxBest Value
Input cost$0.78/M tokens
Output cost$3.90/M tokens
Cost per quality point$0.069
Est. monthly (1M tokens/day)$70.20

Qwen3 Max offers 58% better value per quality point. At 1M tokens/day, you'd spend $70.20/month with Qwen3 Max vs $168.75/month with Gemini 2.5 Pro - a $98.55 monthly difference.

Latency & Speed
Gemini 2.5 ProFaster
Speed score0/100
Qwen3 Max
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. Qwen3 Max 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 ($3.90/M) reduces costs when processing thousands of records daily

Qwen3 Max

Creative writing & content

Higher overall composite score (84/100) 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 clearly outperforms Qwen3 Max with a significant 16.099999999999994-point lead. For most general use cases, Gemini 2.5 Pro is the stronger choice. However, Qwen3 Max may still excel in niche scenarios.

Gemini 2.5 Pro
Recommended

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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 Alibaba

  • Choose for Cost - 58% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 2.5 ProQwen3 Max
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
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

Qwen3 Max

Alibaba

Best Value
$6.08
estimated monthly cost

Qwen3 Max saves you $8.17/month

That's 57% cheaper than Gemini 2.5 Pro 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 ProQwen3 Max
Context Window1.0M262K
Max Output Tokens65,53632,768
Open SourceNoNo
CreatedJun 17, 2025Sep 23, 2025
Last updated: 57m ago

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