Model Comparison
Coder V2 Lite Instruct
vs. GPT-4o mini
Comparing 2 AI models · 9 benchmarks · DeepSeek, OpenAI
Recommended Pick
Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Coder V2 Lite Instruct
$0.00/1M input price
Best Reasoning
GPT-4o mini
25.6 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Coder V2 Lite Instruct is ∞x cheaper on input tokens than GPT-4o mini.
Reasoning gap
GPT-4o mini leads Coder V2 Lite Instruct by 10.4 points on reasoning.
Top-pick rationale
GPT-4o mini 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.
Coder V2 Lite Instruct
DeepSeek
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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GPT-4o mini
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
Full Comparison
| Metric | De Coder V2 Lite Instruct | Top Pick Op GPT-4o mini |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.15/1M |
| Output Cost | $0.00/1M | $0.60/1M |
| Blended (3:1) | — | $0.26/1M |
| Specifications | ||
| Organization | DeepSeek | OpenAI |
| Release Date | Jun 17, 2024 | Jul 18, 2024 |
| Performance & Speed | ||
| Throughput | — | 72.4 tok/s |
| TTFT | — | 496ms |
| Latency | — | 496ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 15.2 | 25.6 |
| Intelligence | 8.5 | 12.6 |
| Math | — | 14.7 |
| Standard Benchmarks | ||
| GPQA | 31.9% | 42.6% |
| MMLU Pro | 42.9% | 64.8% |
| HLE | 5.3% | 4.0% |
| LiveCodeBench | 15.8% | 23.4% |
| MATH 500 | — | 78.9% |
| AIME 2025 | — | 14.7% |
| AIME (Original) | — | 11.7% |
| SciCode | 13.9% | 22.9% |
| IFBench | — | 31.0% |
Key Takeaways
Coder V2 Lite Instruct offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-4o mini has the strongest reasoning profile with a 25.6 reasoning score, combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Coder V2 Lite Instruct
- Cost-sensitive applications
- High-volume processing
GPT-4o mini
- Complex reasoning tasks
- Research & analysis