Model Comparison
EXAONE 4.5 33B (Non-reasoning)
vs. GPT-5 mini (high)
Comparing 2 AI models · 10 benchmarks · LG AI Research, OpenAI
Recommended Pick
LG EXAONE 4.5 33B (Non-reasoning) 4 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
EXAONE 4.5 33B (Non-reasoning)
$0.00/1M input price
Best for Coding
GPT-5 mini (high)
35.3 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
EXAONE 4.5 33B (Non-reasoning) is ∞x cheaper on input tokens than GPT-5 mini (high).
Top-pick rationale
EXAONE 4.5 33B (Non-reasoning) wins 4 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
EXAONE 4.5 33B (Non-reasoning)
LG AI Research
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
GPT-5 mini (high)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick LG EXAONE 4.5 33B (Non-reasoning) | Op GPT-5 mini (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.25/1M |
| Output Cost | $0.00/1M | $2.00/1M |
| Blended (3:1) | — | $0.69/1M |
| Specifications | ||
| Organization | LG AI Research | OpenAI |
| Release Date | Apr 9, 2026 | Aug 7, 2025 |
| Performance & Speed | ||
| Throughput | — | 104.4 tok/s |
| TTFT | — | 96663ms |
| Latency | — | 96663ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | — | 65.0 |
| Intelligence | — | 41.2 |
| Coding | — | 35.3 |
| Math | — | 90.7 |
| Standard Benchmarks | ||
| GPQA | — | 82.8% |
| MMLU Pro | — | 83.7% |
| HLE | — | 19.7% |
| LiveCodeBench | — | 83.8% |
| AIME 2025 | — | 90.7% |
| SciCode | — | 39.2% |
| LCR | — | 68.0% |
| IFBench | — | 75.4% |
| TAU-bench v2 | — | 68.4% |
| TerminalBench Hard | — | 33.3% |
Key Takeaways
EXAONE 4.5 33B (Non-reasoning) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5 mini (high) reaches a 35.3 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
EXAONE 4.5 33B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
GPT-5 mini (high)
- Code generation
- Software development
