Model Comparison
Ling-mini-2.0
vs. Olmo 3 7B Instruct
Comparing 2 AI models · 10 benchmarks · InclusionAI, Allen Institute for AI
Recommended Pick
In Ling-mini-2.0 14 metric wins Strongest on: Input price, Output price, Reasoning
Lowest Price
Ling-mini-2.0
$0.00/1M input price
Best Reasoning
Ling-mini-2.0
33.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Ling-mini-2.0
5.0 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
Ling-mini-2.0 is ∞x cheaper on input tokens than Olmo 3 7B Instruct.
Reasoning gap
Ling-mini-2.0 leads Olmo 3 7B Instruct by 6.5 points on reasoning.
Coding gap
Ling-mini-2.0 leads Olmo 3 7B Instruct by 1.6 points on coding.
Top-pick rationale
Ling-mini-2.0 wins 14 measurable categories, including Input price, Output price, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Ling-mini-2.0
InclusionAI
TTFT
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Time
—
tok/s
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Tokens
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Cost
—
Olmo 3 7B Instruct
Allen Institute for AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick In Ling-mini-2.0 | Al Olmo 3 7B Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.10/1M |
| Output Cost | $0.00/1M | $0.20/1M |
| Blended (3:1) | — | $0.13/1M |
| Specifications | ||
| Organization | InclusionAI | Allen Institute for AI |
| Release Date | Sep 9, 2025 | Nov 20, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 33.8 | 27.3 |
| Intelligence | 9.2 | 8.1 |
| Coding | 5.0 | 3.4 |
| Math | 49.3 | 41.3 |
| Standard Benchmarks | ||
| GPQA | 56.2% | 40.0% |
| MMLU Pro | 67.1% | 52.2% |
| HLE | 5.0% | 5.8% |
| LiveCodeBench | 42.9% | 26.6% |
| AIME 2025 | 49.3% | 41.3% |
| SciCode | 13.5% | 10.3% |
| LCR | 6.7% | 0.0% |
| IFBench | 23.6% | 32.8% |
| TAU-bench v2 | 13.2% | 12.6% |
| TerminalBench Hard | 0.8% | 0.0% |
Key Takeaways
Ling-mini-2.0 offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Ling-mini-2.0 has the strongest reasoning profile with a 33.8 reasoning score, combining the available reasoning-heavy benchmarks.
Ling-mini-2.0 reaches a 5.0 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
Ling-mini-2.0
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Olmo 3 7B Instruct
- General-purpose AI
- Versatile applications
