Model Comparison
Granite 4.0 H Small
vs. Qwen3 VL 8B Instruct
Comparing 2 AI models · 10 benchmarks · IBM, Alibaba
Recommended Pick
Al Qwen3 VL 8B Instruct 12 metric wins Strongest on: TTFT, Latency, Reasoning
Best Value
Granite 4.0 H Small
100.0 value score
15.6 reasoning / $0.11/1M
Lowest Price
Granite 4.0 H Small
$0.06/1M input price
Best Reasoning
Qwen3 VL 8B Instruct
21.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
Granite 4.0 H Small
8.5 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
Granite 4.0 H Small has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Granite 4.0 H Small is 3.0x cheaper on input tokens than Qwen3 VL 8B Instruct.
Speed gap
Granite 4.0 H Small generates about 3.4x as many tokens per second as Qwen3 VL 8B Instruct.
Reasoning gap
Qwen3 VL 8B Instruct leads Granite 4.0 H Small by 6.2 points on reasoning.
Coding gap
Granite 4.0 H Small leads Qwen3 VL 8B Instruct by 1.2 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Granite 4.0 H Small
IBM
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 VL 8B Instruct
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | IB Granite 4.0 H Small | Top Pick Al Qwen3 VL 8B Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.06/1M | $0.18/1M |
| Output Cost | $0.25/1M | $0.70/1M |
| Blended (3:1) | $0.11/1M | $0.31/1M |
| Specifications | ||
| Organization | IBM | Alibaba |
| Release Date | Sep 22, 2025 | Oct 14, 2025 |
| Performance & Speed | ||
| Throughput | 485.6 tok/s | 143.9 tok/s |
| TTFT | 8708ms | 932ms |
| Latency | 8708ms | 932ms |
| Composite Indices | ||
| Value Score | 100.0 | 48.4 |
| Reasoning Score | 15.6 | 21.7 |
| Intelligence | 5.2 | 8.4 |
| Coding | 8.5 | 7.3 |
| Math | 13.7 | 27.3 |
| Standard Benchmarks | ||
| GPQA | 41.6% | 42.7% |
| MMLU Pro | 62.4% | 68.6% |
| HLE | 3.7% | 2.9% |
| LiveCodeBench | 25.1% | 33.2% |
| AIME 2025 | 13.7% | 27.3% |
| SciCode | 20.9% | 17.4% |
| LCR | 9.0% | 15.3% |
| IFBench | 31.5% | 32.3% |
| TAU-bench v2 | 17.3% | 29.2% |
| TerminalBench Hard | 2.3% | 2.3% |
Key Takeaways
Granite 4.0 H Small offers the best value at $0.06/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 VL 8B Instruct has the strongest reasoning profile with a 21.7 reasoning score, combining the available reasoning-heavy benchmarks.
Granite 4.0 H Small reaches a 8.5 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
Granite 4.0 H Small
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Qwen3 VL 8B Instruct
- Complex reasoning tasks
- Research & analysis
