Model Comparison
GPT-4o mini
vs. Qwen3.5 122B A10B (Reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
Al Qwen3.5 122B A10B (Reasoning) 7 metric wins Strongest on: Throughput, Reasoning, Intelligence
Best Value
GPT-4o mini
100.0 value score
24.8 reasoning / $0.26/1M
Lowest Price
GPT-4o mini
$0.15/1M input price
Best Reasoning
Qwen3.5 122B A10B (Reasoning)
47.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 122B A10B (Reasoning)
45.7 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
GPT-4o mini has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GPT-4o mini is 2.7x cheaper on input tokens than Qwen3.5 122B A10B (Reasoning).
Speed gap
Qwen3.5 122B A10B (Reasoning) generates about 1.8x as many tokens per second as GPT-4o mini.
Reasoning gap
Qwen3.5 122B A10B (Reasoning) leads GPT-4o mini by 22.4 points on reasoning.
Top-pick rationale
Qwen3.5 122B A10B (Reasoning) wins 7 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4o mini
OpenAI
TTFT
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Time
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tok/s
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Tokens
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Cost
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Qwen3.5 122B A10B (Reasoning)
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Op GPT-4o mini | Top Pick Al Qwen3.5 122B A10B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $0.40/1M |
| Output Cost | $0.60/1M | $3.20/1M |
| Blended (3:1) | $0.26/1M | $1.10/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Jul 18, 2024 | Feb 24, 2026 |
| Performance & Speed | ||
| Throughput | 81.2 tok/s | 148.6 tok/s |
| TTFT | 615ms | 1076ms |
| Latency | 615ms | 14537ms |
| Composite Indices | ||
| Value Score | 100.0 | 45.4 |
| Reasoning Score | 24.8 | 47.1 |
| Intelligence | 6.9 | 32.3 |
| Coding | — | 45.7 |
| Math | 14.7 | — |
| Standard Benchmarks | ||
| GPQA | 42.6% | 85.7% |
| MMLU Pro | 64.8% | — |
| HLE | 4.0% | 23.4% |
| LiveCodeBench | 23.4% | — |
| MATH 500 | 78.9% | — |
| AIME 2025 | 14.7% | — |
| AIME (Original) | 11.7% | — |
| SciCode | 22.9% | 42.0% |
| LCR | — | 66.7% |
| IFBench | 31.0% | 75.7% |
| TAU-bench v2 | — | 93.6% |
| TerminalBench Hard | — | 31.1% |
Key Takeaways
GPT-4o mini offers the best value at $0.15/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 122B A10B (Reasoning) has the strongest reasoning profile with a 47.1 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.5 122B A10B (Reasoning) reaches a 45.7 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
GPT-4o mini
- Cost-sensitive applications
- High-volume processing
Qwen3.5 122B A10B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
