Skip to content

GPT-4o-mini (batch) vs Qwen3 8B

vs
Qwen3 8B

Alibaba

61#209
Signal-by-Signal Comparison
SignalGPT-4o-mini (batch)DeltaQwen3 8B
Capabilities
83
+17
67
Benchmarks
72
+13
60
Pricing
100
+0
100
Context window size
81
0
81
Recency
0
-43
43
Output Capacity
67
+5
63
Overall Result
4 wins
of 6
2 wins
GPT-4o-mini (batch) wins 4 of 6 signals

Score History

Score History (29 data points)
GPT-4o-mini (batch)Qwen3 8B
GPT-4o-mini (batch)

61.4

current score

Leader

GPT-4o-mini (batch)

right now

Qwen3 8B

61

current score

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

GPT-4o-mini (batch)

OpenAI

Best Value
Per request$0.000225
Daily$0.75
Monthly$22.50
Annual$270.00

Qwen3 8B

Alibaba

Per request$0.000344
Daily$1.15
Monthly$34.45
Annual$413.40

GPT-4o-mini (batch) saves you $11.95/month

That's $143.40/year compared to Qwen3 8B at your current usage level of 100K calls/month.

35% cheaper
Choose GPT-4o-mini (batch) for cost optimization

GPT-4o-mini (batch) pricing:
Input:$0.07/M tokens
Output:$0.30/M tokens
Qwen3 8B pricing:
Input:$0.12/M tokens
Output:$0.45/M tokens
Winner
GPT-4o-mini (batch)

OpenAI

61

Composite Score

Qwen3 8B

Alibaba

61

Composite Score

Signal-by-Signal Comparison
MetricGPT-4o-mini (batch)Qwen3 8BWinner
Overall Score
61
61
GPT-4o-mini (batch)
Rank#207#209
GPT-4o-mini (batch)
Quality Rank#207#209
GPT-4o-mini (batch)
Adoption Rank#207#209
GPT-4o-mini (batch)
Parameters--8B--
Context Window128K131K
Qwen3 8B
Pricing$0.07/$0.30/M$0.12/$0.45/M--
Signal Scores
Capabilities
83
67
GPT-4o-mini (batch)
Benchmarks
72
60
GPT-4o-mini (batch)
Pricing
100
100
GPT-4o-mini (batch)
Context window size
81
81
Qwen3 8B
Recency
0
43
Qwen3 8B
Output Capacity
67
63
GPT-4o-mini (batch)
Benchmark Head-to-Head(15 benchmarks)
GPT-4o-mini (batch): 0Qwen3 8B: 1
GPT-4o-mini (batch)
Qwen3 8B
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
12861347
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-4o-mini (batch)Competitive

Scores 61/100 (rank #207), placing it in the top 29% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 8BCompetitive

Scores 61/100 (rank #209), placing it in the top 28% 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 (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Multimodal workflows that require image understanding

Choose Qwen3 8B when you need:

  • 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-mini (batch)Best Value
Input cost$0.07/M tokens
Output cost$0.30/M tokens
Cost per quality point$0.006
Est. monthly (1M tokens/day)$5.63
Qwen3 8B
Input cost$0.12/M tokens
Output cost$0.45/M tokens
Cost per quality point$0.009
Est. monthly (1M tokens/day)$8.58

GPT-4o-mini (batch) offers 34% better value per quality point. At 1M tokens/day, you'd spend $5.63/month with GPT-4o-mini (batch) vs $8.58/month with Qwen3 8B - a $2.96 monthly difference.

Latency & Speed
GPT-4o-mini (batch)Faster
Speed score0/100
Qwen3 8B
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 (batch)

Customer support chatbot

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

GPT-4o-mini (batch)

Long document analysis

Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3 8B

Batch data extraction

Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily

GPT-4o-mini (batch)

Creative writing & content

Higher overall composite score (61/100) correlates with better nuance, coherence, and style in long-form content

GPT-4o-mini (batch)

Image understanding & OCR

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

GPT-4o-mini (batch)
Which Should You Choose?
Our recommendation:
GPT-4o-mini (batch)

GPT-4o-mini (batch) and Qwen3 8B are extremely close in overall performance (only 0.3999999999999986 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 - 34% 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-mini (batch)Qwen3 8B
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4o-mini (batch)

OpenAI

Best Value
$0.4950
estimated monthly cost

Qwen3 8B

Alibaba

$0.7566
estimated monthly cost

GPT-4o-mini (batch) saves you $0.2616/month

That's 35% cheaper than Qwen3 8B 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-mini (batch)Qwen3 8B
Context Window128K131K
Max Output Tokens16,3848,192
Open SourceNoYes
CreatedJul 18, 2024Apr 28, 2025
Last updated: 55m ago

相关对比

GPT-4o-mini (batch) vs Qwen3 8B (2026) | LM Market Cap