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o4 Mini (batch) vs Qwen3.8 Max

o4 Mini (batch)

OpenAI

81#80
vs
Qwen3.8 Max

Alibaba

81#82
Signal-by-Signal Comparison
Signalo4 Mini (batch)DeltaQwen3.8 Max
Capabilities
100
+17
83
Benchmarks
85
+5
80
Pricing
98
+4
94
Context window size
84
-11
95
Recency
46
-54
100
Output Capacity
83
-2
85
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History Unavailable

Not enough historical data to show a comparison chart. Score history is recorded weekly and will be available after at least two data points are collected.

81.4

o4 Mini (batch)

vs

80.6

Qwen3.8 Max

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

o4 Mini (batch)

OpenAI

Best Value
Per request$0.001650
Daily$5.50
Monthly$165.00
Annual$1980.00

Qwen3.8 Max

Alibaba

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

o4 Mini (batch) saves you $335.00/month

That's $4020.00/year compared to Qwen3.8 Max at your current usage level of 100K calls/month.

67% cheaper
Choose o4 Mini (batch) for cost optimization

o4 Mini (batch) pricing:
Input:$0.55/M tokens
Output:$2.20/M tokens
Qwen3.8 Max pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Winner
o4 Mini (batch)

OpenAI

81

Composite Score

Qwen3.8 Max

Alibaba

81

Composite Score

Signal-by-Signal Comparison
Metrico4 Mini (batch)Qwen3.8 MaxWinner
Overall Score
81
81
o4 Mini (batch)
Rank#80#82
o4 Mini (batch)
Quality Rank#80#82
o4 Mini (batch)
Adoption Rank#80#82
o4 Mini (batch)
Parameters------
Context Window200K1000K
Qwen3.8 Max
Pricing$0.55/$2.20/M$2.00/$6.00/M--
Signal Scores
Capabilities
100
83
o4 Mini (batch)
Benchmarks
85
80
o4 Mini (batch)
Pricing
98
94
o4 Mini (batch)
Context window size
84
95
Qwen3.8 Max
Recency
46
100
Qwen3.8 Max
Output Capacity
83
85
Qwen3.8 Max
Benchmark Head-to-Head(11 benchmarks)
o4 Mini: 0Qwen3.8 Max: 1
o4 Mini
Qwen3.8 Max
Normalized 0-100%
MMLU-Pro
83%-
GPQA Diamond
81.4%-
MATH-500
97.3%-
HumanEval
95%-
SWE-bench Verified
68.1%-
AIME 2024
93.4%-
IFEval
90%-
BBH
90.5%-
Arena Elo
13801497
LiveBench
72%-
HLE
18.08%-
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.

o4 Mini (batch)Strong Performer

Scores 81/100 (rank #80), placing it in the top 73% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.8 MaxStrong Performer

Scores 81/100 (rank #82), placing it in the top 72% 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 o4 Mini (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 Qwen3.8 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
o4 Mini (batch)Best Value
Input cost$0.55/M tokens
Output cost$2.20/M tokens
Cost per quality point$0.034
Est. monthly (1M tokens/day)$41.25
Qwen3.8 Max
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.099
Est. monthly (1M tokens/day)$120.00

o4 Mini (batch) offers 66% better value per quality point. At 1M tokens/day, you'd spend $41.25/month with o4 Mini (batch) vs $120.00/month with Qwen3.8 Max - a $78.75 monthly difference.

Latency & Speed
o4 Mini (batch)Faster
Speed score0/100
Qwen3.8 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

o4 Mini (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. o4 Mini (batch) also offers lower per-token costs for high-volume support

o4 Mini (batch)

Long document analysis

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

Qwen3.8 Max

Batch data extraction

Lower output pricing ($2.20/M) reduces costs when processing thousands of records daily

o4 Mini (batch)

Creative writing & content

Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content

o4 Mini (batch)

Image understanding & OCR

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

o4 Mini (batch)
Which Should You Choose?
Our recommendation:
o4 Mini (batch)

o4 Mini (batch) and Qwen3.8 Max are extremely close in overall performance (only 0.8000000000000114 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

o4 Mini (batch)
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 66% 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 Alibaba

Consider for specialized use cases.

Capability Comparison
Capabilityo4 Mini (batch)Qwen3.8 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)

o4 Mini (batch)

OpenAI

Best Value
$3.63
estimated monthly cost

Qwen3.8 Max

Alibaba

$10.80
estimated monthly cost

o4 Mini (batch) saves you $7.17/month

That's 66% cheaper than Qwen3.8 Max 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
Parametero4 Mini (batch)Qwen3.8 Max
Context Window200K1M
Max Output Tokens100,000131,072
Open SourceNoNo
CreatedApr 16, 2025Aug 3, 2026
Last updated: 52m ago

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