Skip to content

GPT-4o-mini vs Qwen3 VL 235B A22B Instruct

GPT-4o-mini

OpenAI

69#120
vs
Signal-by-Signal Comparison
SignalGPT-4o-miniDeltaQwen3 VL 235B A22B Instruct
Capabilities
67
--
67
Benchmarks
76
+7
69
Pricing
99
+1
98
Context window size
81
-5
86
Recency
0
-77
77
Output Capacity
70
-5
75
Overall Result
2 wins
of 6
3 wins
Qwen3 VL 235B A22B Instruct wins 3 of 6 signals

Score History

Score History (24 data points)
GPT-4o-miniQwen3 VL 235B A22B Instruct
GPT-4o-mini

69.3

current score

Leader

Qwen3 VL 235B A22B Instruct

right now

Qwen3 VL 235B A22B Instruct

69.4

current score

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

GPT-4o-mini

OpenAI

Best Value
Per request$0.000450
Daily$1.50
Monthly$45.00
Annual$540.00

Qwen3 VL 235B A22B Instruct

Alibaba

Per request$0.001160
Daily$3.87
Monthly$116.00
Annual$1392.00

GPT-4o-mini saves you $71.00/month

That's $852.00/year compared to Qwen3 VL 235B A22B Instruct at your current usage level of 100K calls/month.

61% cheaper
Choose GPT-4o-mini for cost optimization

GPT-4o-mini pricing:
Input:$0.15/M tokens
Output:$0.60/M tokens
Qwen3 VL 235B A22B Instruct pricing:
Input:$0.21/M tokens
Output:$1.90/M tokens
GPT-4o-mini

OpenAI

69

Composite Score

Winner
Qwen3 VL 235B A22B Instruct

Alibaba

69

Composite Score

Signal-by-Signal Comparison
MetricGPT-4o-miniQwen3 VL 235B A22B InstructWinner
Overall Score
69
69
Qwen3 VL 235B A22B Instruct
Rank#120#118
Qwen3 VL 235B A22B Instruct
Quality Rank#120#118
Qwen3 VL 235B A22B Instruct
Adoption Rank#120#118
Qwen3 VL 235B A22B Instruct
Parameters--235B--
Context Window128K262K
Qwen3 VL 235B A22B Instruct
Pricing$0.15/$0.60/M$0.21/$1.90/M--
Signal Scores
Capabilities
67
67
GPT-4o-mini
Benchmarks
76
69
GPT-4o-mini
Pricing
99
98
GPT-4o-mini
Context window size
81
86
Qwen3 VL 235B A22B Instruct
Recency
0
77
Qwen3 VL 235B A22B Instruct
Output Capacity
70
75
Qwen3 VL 235B A22B Instruct
Benchmark Head-to-Head(11 benchmarks)
GPT-4o-mini: 0Qwen3 VL: 1
GPT-4o-mini
Qwen3 VL
Normalized 0-100%
MMLU
82%-
MMLU-Pro
63.1%-
GPQA Diamond
40.2%-
MATH-500
70.2%-
HumanEval
87.2%-
GSM8K
93.2%-
IFEval
80.4%-
BBH
80.4%-
ARC-Challenge
96.4%-
HellaSwag
93%-
Arena Elo
12221415
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.

GPT-4o-miniCompetitive

Scores 69/100 (rank #120), placing it in the top 59% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 VL 235B A22B InstructCompetitive

Scores 69/100 (rank #118), placing it in the top 60% 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 GPT-4o-mini when you need:

  • High-volume production workloads where API costs must be minimized

Choose Qwen3 VL 235B A22B Instruct when you need:

  • Processing long documents or large codebases (262K token context)
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-4o-miniBest Value
Input cost$0.15/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.011
Est. monthly (1M tokens/day)$11.25
Qwen3 VL 235B A22B Instruct
Input cost$0.21/M tokens
Output cost$1.90/M tokens
Cost per quality point$0.030
Est. monthly (1M tokens/day)$31.65

GPT-4o-mini offers 64% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with GPT-4o-mini vs $31.65/month with Qwen3 VL 235B A22B Instruct - a $20.40 monthly difference.

Latency & Speed
GPT-4o-miniFaster
Speed score0/100
Qwen3 VL 235B A22B Instruct
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

GPT-4o-mini

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4o-mini also offers lower per-token costs for high-volume support

GPT-4o-mini

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3 VL 235B A22B Instruct

Batch data extraction

Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily

GPT-4o-mini

Creative writing & content

Higher overall composite score (69/100) correlates with better nuance, coherence, and style in long-form content

Qwen3 VL 235B A22B Instruct

Image understanding & OCR

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

GPT-4o-mini
Which Should You Choose?
Our recommendation:
Qwen3 VL 235B A22B Instruct

GPT-4o-mini and Qwen3 VL 235B A22B Instruct are extremely close in overall performance (only 0.10000000000000853 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 64% 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
CapabilityGPT-4o-miniQwen3 VL 235B A22B Instruct
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)

GPT-4o-mini

OpenAI

Best Value
$0.9900
estimated monthly cost

Qwen3 VL 235B A22B Instruct

Alibaba

$2.66
estimated monthly cost

GPT-4o-mini saves you $1.67/month

That's 63% cheaper than Qwen3 VL 235B A22B Instruct 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
ParameterGPT-4o-miniQwen3 VL 235B A22B Instruct
Context Window128K262K
Max Output Tokens16,38432,768
Open SourceNoYes
CreatedJul 18, 2024Sep 23, 2025
Last updated: 48m ago

相关对比

GPT-4o-mini vs Qwen3 VL 235B A22B Instruct (2026) | LM Market Cap