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o3 Mini vs Qwen3.7 Max

o3 Mini

OpenAI

75#70
vs
Qwen3.7 Max

Alibaba

74#71
Signal-by-Signal Comparison
Signalo3 MiniDeltaQwen3.7 Max
Capabilities
83
+17
67
Benchmarks
76
+76
0
Pricing
96
-1
96
Context window size
76
-10
86
Recency
37
-63
100
Output Capacity
83
+3
80
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (22 data points)
o3 MiniQwen3.7 Max
o3 Mini

74.9

current score

Leader

o3 Mini

right now

Qwen3.7 Max

74.4

current score

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

o3 Mini

OpenAI

Per request$0.003300
Daily$11.00
Monthly$330.00
Annual$3960.00

Qwen3.7 Max

Alibaba

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

Qwen3.7 Max saves you $17.50/month

That's $210.00/year compared to o3 Mini at your current usage level of 100K calls/month.

5% cheaper
Choose Qwen3.7 Max for cost optimization

o3 Mini pricing:
Input:$1.10/M tokens
Output:$4.40/M tokens
Qwen3.7 Max pricing:
Input:$1.25/M tokens
Output:$3.75/M tokens
Winner
o3 Mini

OpenAI

75

Composite Score

Qwen3.7 Max

Alibaba

74

Composite Score

Signal-by-Signal Comparison
Metrico3 MiniQwen3.7 MaxWinner
Overall Score
75
74
o3 Mini
Rank#70#71
o3 Mini
Quality Rank#70#71
o3 Mini
Adoption Rank#70#71
o3 Mini
Parameters------
Context Window200K1000K
Qwen3.7 Max
Pricing$1.10/$4.40/M$1.25/$3.75/M--
Signal Scores
Capabilities
83
67
o3 Mini
Benchmarks
76
--
o3 Mini
Pricing
96
96
Qwen3.7 Max
Context window size
76
86
Qwen3.7 Max
Recency
37
100
Qwen3.7 Max
Output Capacity
83
80
o3 Mini
Benchmark Head-to-Head(12 benchmarks)
o3 Mini: 0Qwen3.7 Max: 0
o3 Mini
Qwen3.7 Max
Normalized 0-100%
MMLU
86.9%-
MMLU-Pro
82.5%-
GPQA Diamond
79.7%-
MATH-500
97.9%-
SWE-bench Verified
49.3%-
AIME 2024
87.3%-
IFEval
90.2%-
BBH
88.5%-
Arena Elo
1371-
LiveBench
71.5%-
HLE
20.3%-
BigCodeBench
33.1%-
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.

o3 MiniStrong Performer

Scores 75/100 (rank #70), placing it in the top 76% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.7 MaxStrong Performer

Scores 74/100 (rank #71), placing it in the top 76% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-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 o3 Mini when you need:

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

Choose Qwen3.7 Max when you need:

  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
o3 Mini
Input cost$1.10/M tokens
Output cost$4.40/M tokens
Cost per quality point$0.073
Est. monthly (1M tokens/day)$82.50
Qwen3.7 MaxBest Value
Input cost$1.25/M tokens
Output cost$3.75/M tokens
Cost per quality point$0.067
Est. monthly (1M tokens/day)$75.00

Qwen3.7 Max offers 9% better value per quality point. At 1M tokens/day, you'd spend $75.00/month with Qwen3.7 Max vs $82.50/month with o3 Mini - a $7.50 monthly difference.

Latency & Speed
o3 MiniFaster
Speed score0/100
Qwen3.7 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

o3 Mini

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3.7 Max also offers lower per-token costs for high-volume support

o3 Mini

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.7 Max

Batch data extraction

Lower output pricing ($3.75/M) reduces costs when processing thousands of records daily

Qwen3.7 Max

Creative writing & content

Higher overall composite score (75/100) correlates with better nuance, coherence, and style in long-form content

o3 Mini
Which Should You Choose?
Our recommendation:
o3 Mini

o3 Mini and Qwen3.7 Max are extremely close in overall performance (only 0.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

o3 Mini
Recommended

by OpenAI

  • 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 - 9% lower pricing; better value at scale
Capability Comparison
Capabilityo3 MiniQwen3.7 Max
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

o3 Mini

OpenAI

$7.26
estimated monthly cost

Qwen3.7 Max

Alibaba

Best Value
$6.75
estimated monthly cost

Qwen3.7 Max saves you $0.5100/month

That's 7% cheaper than o3 Mini 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
Parametero3 MiniQwen3.7 Max
Context Window200K1M
Max Output Tokens100,00065,536
Open SourceNoNo
CreatedJan 31, 2025May 21, 2026
Last updated: 13m ago

相关对比

o3 Mini vs Qwen3.7 Max (2026) | LM Market Cap