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GPT-4o (2024-05-13) vs Qwen3.5 397B A17B

vs
Qwen3.5 397B A17B

Alibaba

71#122
Signal-by-Signal Comparison
SignalGPT-4o (2024-05-13)DeltaQwen3.5 397B A17B
Capabilities
67
-17
83
Benchmarks
74
+4
70
Pricing
85
-11
97
Context window size
81
-5
86
Recency
0
-89
89
Output Capacity
58
-28
86
Overall Result
1 wins
of 6
5 wins
Qwen3.5 397B A17B wins 5 of 6 signals

Score History

Score History (35 data points)
GPT-4o (2024-05-13)Qwen3.5 397B A17B
GPT-4o (2024-05-13)

71.2

current score

Leader

GPT-4o (2024-05-13)

right now

Qwen3.5 397B A17B

70.7

current score

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

GPT-4o (2024-05-13)

OpenAI

Per request$0.012500
Daily$41.67
Monthly$1250.00
Annual$15000.00

Qwen3.5 397B A17B

Alibaba

Best Value
Per request$0.002300
Daily$7.67
Monthly$230.00
Annual$2760.00

Qwen3.5 397B A17B saves you $1020.00/month

That's $12240.00/year compared to GPT-4o (2024-05-13) at your current usage level of 100K calls/month.

82% cheaper
Choose Qwen3.5 397B A17B for cost optimization

GPT-4o (2024-05-13) pricing:
Input:$5.00/M tokens
Output:$15.00/M tokens
Qwen3.5 397B A17B pricing:
Input:$0.55/M tokens
Output:$3.50/M tokens
Winner
GPT-4o (2024-05-13)

OpenAI

71

Composite Score

Qwen3.5 397B A17B

Alibaba

71

Composite Score

Signal-by-Signal Comparison
MetricGPT-4o (2024-05-13)Qwen3.5 397B A17BWinner
Overall Score
71
71
GPT-4o (2024-05-13)
Rank#120#122
GPT-4o (2024-05-13)
Quality Rank#120#122
GPT-4o (2024-05-13)
Adoption Rank#120#122
GPT-4o (2024-05-13)
Parameters--397B--
Context Window128K262K
Qwen3.5 397B A17B
Pricing$5.00/$15.00/M$0.55/$3.50/M--
Signal Scores
Capabilities
67
83
Qwen3.5 397B A17B
Benchmarks
74
70
GPT-4o (2024-05-13)
Pricing
85
97
Qwen3.5 397B A17B
Context window size
81
86
Qwen3.5 397B A17B
Recency
0
89
Qwen3.5 397B A17B
Output Capacity
58
86
Qwen3.5 397B A17B
Benchmark Head-to-Head(15 benchmarks)
GPT-4o (2024-05-13): 0Qwen3.5 397B: 1
GPT-4o (2024-05-13)
Qwen3.5 397B
Normalized 0-100%
MMLU
88.7%-
MMLU-Pro
72.6%87.8%
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
1286-
LiveBench
64.3%-
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-4o (2024-05-13)Strong Performer

Scores 71/100 (rank #120), placing it in the top 59% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.5 397B A17BStrong Performer

Scores 71/100 (rank #122), placing it in the top 58% 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 GPT-4o (2024-05-13) when you need:

  • General-purpose tasks across coding, writing, and analysis

Choose Qwen3.5 397B A17B 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 (2024-05-13)
Input cost$5.00/M tokens
Output cost$15.00/M tokens
Cost per quality point$0.281
Est. monthly (1M tokens/day)$300.00
Qwen3.5 397B A17BBest Value
Input cost$0.55/M tokens
Output cost$3.50/M tokens
Cost per quality point$0.057
Est. monthly (1M tokens/day)$60.75

Qwen3.5 397B A17B offers 80% better value per quality point. At 1M tokens/day, you'd spend $60.75/month with Qwen3.5 397B A17B vs $300.00/month with GPT-4o (2024-05-13) - a $239.25 monthly difference.

Latency & Speed
GPT-4o (2024-05-13)Faster
Speed score0/100
Qwen3.5 397B A17B
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 (2024-05-13)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3.5 397B A17B also offers lower per-token costs for high-volume support

GPT-4o (2024-05-13)

Long document analysis

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

Qwen3.5 397B A17B

Batch data extraction

Lower output pricing ($3.50/M) reduces costs when processing thousands of records daily

Qwen3.5 397B A17B

Creative writing & content

Higher overall composite score (71/100) correlates with better nuance, coherence, and style in long-form content

GPT-4o (2024-05-13)

Image understanding & OCR

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

GPT-4o (2024-05-13)
Which Should You Choose?
Our recommendation:
GPT-4o (2024-05-13)

GPT-4o (2024-05-13) and Qwen3.5 397B A17B 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.

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 - 80% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4o (2024-05-13)Qwen3.5 397B A17B
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 (2024-05-13)

OpenAI

$27.00
estimated monthly cost

Qwen3.5 397B A17B

Alibaba

Best Value
$5.19
estimated monthly cost

Qwen3.5 397B A17B saves you $21.81/month

That's 81% cheaper than GPT-4o (2024-05-13) 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 (2024-05-13)Qwen3.5 397B A17B
Context Window128K262K
Max Output Tokens4,096235,929
Open SourceNoYes
CreatedMay 13, 2024Feb 16, 2026
Last updated: 43m ago

相关对比

GPT-4o (2024-05-13) vs Qwen3.5 397B A17B (2026) | LM Market Cap