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GPT-4o vs Qwen3.5-27B

GPT-4o

OpenAI

70#101
vs
Qwen3.5-27B

Alibaba

69#103
Signal-by-Signal Comparison
SignalGPT-4oDeltaQwen3.5-27B
Capabilities
67
-17
83
Benchmarks
72
+4
68
Pricing
90
-8
98
Context window size
73
-4
77
Recency
0
-100
100
Output Capacity
70
-10
80
Overall Result
1 wins
of 6
5 wins
Qwen3.5-27B wins 5 of 6 signals

Score History

Score History (22 data points)
GPT-4oQwen3.5-27B
GPT-4o

69.5

current score

Leader

GPT-4o

right now

Qwen3.5-27B

69.1

current score

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

GPT-4o

OpenAI

Per request$0.007500
Daily$25.00
Monthly$750.00
Annual$9000.00

Qwen3.5-27B

Alibaba

Best Value
Per request$0.000975
Daily$3.25
Monthly$97.50
Annual$1170.00

Qwen3.5-27B saves you $652.50/month

That's $7830.00/year compared to GPT-4o at your current usage level of 100K calls/month.

87% cheaper
Choose Qwen3.5-27B for cost optimization

GPT-4o pricing:
Input:$2.50/M tokens
Output:$10.00/M tokens
Qwen3.5-27B pricing:
Input:$0.20/M tokens
Output:$1.56/M tokens
Winner
GPT-4o

OpenAI

70

Composite Score

Qwen3.5-27B

Alibaba

69

Composite Score

Signal-by-Signal Comparison
MetricGPT-4oQwen3.5-27BWinner
Overall Score
70
69
GPT-4o
Rank#101#103
GPT-4o
Quality Rank#101#103
GPT-4o
Adoption Rank#101#103
GPT-4o
Parameters--27B--
Context Window128K262K
Qwen3.5-27B
Pricing$2.50/$10.00/M$0.20/$1.56/M--
Signal Scores
Capabilities
67
83
Qwen3.5-27B
Benchmarks
72
68
GPT-4o
Pricing
90
98
Qwen3.5-27B
Context window size
73
77
Qwen3.5-27B
Recency
0
100
Qwen3.5-27B
Output Capacity
70
80
Qwen3.5-27B
Benchmark Head-to-Head(15 benchmarks)
GPT-4o: 0Qwen3.5-27B: 1
GPT-4o
Qwen3.5-27B
Normalized 0-100%
MMLU
88.7%-
MMLU-Pro
72.6%-
GPQA Diamond
53.6%-
MATH-500
76.6%-
HumanEval
90.2%-
SWE-bench Verified
30.8%-
GSM8K
95.8%-
IFEval
84.3%-
BBH
83.7%-
ARC-Challenge
96.4%-
HellaSwag
95.3%-
Arena Elo
12861409
LiveBench
38.3%-
BigCodeBench
51.1%-
SimpleQA
38.2%-
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-4oCompetitive

Scores 70/100 (rank #101), placing it in the top 66% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.5-27BCompetitive

Scores 69/100 (rank #103), placing it in the top 65% 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 when you need:

  • Budget-friendly applications with moderate quality requirements

Choose Qwen3.5-27B when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (262K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-4o
Input cost$2.50/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.180
Est. monthly (1M tokens/day)$187.50
Qwen3.5-27BBest Value
Input cost$0.20/M tokens
Output cost$1.56/M tokens
Cost per quality point$0.025
Est. monthly (1M tokens/day)$26.33

Qwen3.5-27B offers 86% better value per quality point. At 1M tokens/day, you'd spend $26.33/month with Qwen3.5-27B vs $187.50/month with GPT-4o - a $161.18 monthly difference.

Latency & Speed
GPT-4oFaster
Speed score0/100
Qwen3.5-27B
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

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3.5-27B also offers lower per-token costs for high-volume support

GPT-4o

Long document analysis

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

Qwen3.5-27B

Batch data extraction

Lower output pricing ($1.56/M) reduces costs when processing thousands of records daily

Qwen3.5-27B

Creative writing & content

Higher overall composite score (70/100) correlates with better nuance, coherence, and style in long-form content

GPT-4o

Image understanding & OCR

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

GPT-4o
Which Should You Choose?
Our recommendation:
GPT-4o

GPT-4o and Qwen3.5-27B are extremely close in overall performance (only 0.4000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

GPT-4o
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 - 86% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4oQwen3.5-27B
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4o

OpenAI

$16.50
estimated monthly cost

Qwen3.5-27B

Alibaba

Best Value
$2.22
estimated monthly cost

Qwen3.5-27B saves you $14.28/month

That's 87% cheaper than GPT-4o 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-4oQwen3.5-27B
Context Window128K262K
Max Output Tokens16,38465,536
Open SourceNoYes
CreatedMay 13, 2024Feb 25, 2026
Last updated: 11m ago

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