Model Comparison
Gemma 4 26B A4B (Reasoning)
vs. Qwen3 30B A3B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · Google, Alibaba
Recommended Pick
Go Gemma 4 26B A4B (Reasoning) 12 metric wins Strongest on: TTFT, Latency, Reasoning
Best Value
Qwen3 30B A3B (Non-reasoning)
100.0 value score
32.0 reasoning / $0.13/1M
Lowest Price
Qwen3 30B A3B (Non-reasoning)
$0.08/1M input price
Best Reasoning
Gemma 4 26B A4B (Reasoning)
42.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemma 4 26B A4B (Reasoning)
22.4 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
Qwen3 30B A3B (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 30B A3B (Non-reasoning) is 1.6x cheaper on input tokens than Gemma 4 26B A4B (Reasoning).
Reasoning gap
Gemma 4 26B A4B (Reasoning) leads Qwen3 30B A3B (Non-reasoning) by 10.9 points on reasoning.
Coding gap
Gemma 4 26B A4B (Reasoning) leads Qwen3 30B A3B (Non-reasoning) by 9.1 points on coding.
Top-pick rationale
Gemma 4 26B A4B (Reasoning) wins 12 measurable categories, including TTFT, Latency, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemma 4 26B A4B (Reasoning)
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 30B A3B (Non-reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Go Gemma 4 26B A4B (Reasoning) | Al Qwen3 30B A3B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.13/1M | $0.08/1M |
| Output Cost | $0.40/1M | $0.29/1M |
| Blended (3:1) | $0.20/1M | $0.13/1M |
| Specifications | ||
| Organization | Alibaba | |
| Release Date | Apr 2, 2026 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | — | 71.7 tok/s |
| TTFT | — | 1276ms |
| Latency | — | 1276ms |
| Composite Indices | ||
| Value Score | 89.8 | 100.0 |
| Reasoning Score | 42.9 | 32.0 |
| Intelligence | 31.2 | 12.5 |
| Coding | 22.4 | 13.3 |
| Math | — | 21.7 |
| Standard Benchmarks | ||
| GPQA | 79.2% | 51.5% |
| MMLU Pro | — | 71.0% |
| HLE | 18.3% | 4.6% |
| LiveCodeBench | — | 32.2% |
| MATH 500 | — | 86.3% |
| AIME 2025 | — | 21.7% |
| AIME (Original) | — | 26.0% |
| SciCode | 40.0% | 26.4% |
| LCR | 55.7% | 0.0% |
| IFBench | 72.4% | 31.9% |
| TAU-bench v2 | 43.6% | 22.2% |
| TerminalBench Hard | 13.6% | 6.8% |
Key Takeaways
Qwen3 30B A3B (Non-reasoning) offers the best value at $0.08/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemma 4 26B A4B (Reasoning) has the strongest reasoning profile with a 42.9 reasoning score, combining the available reasoning-heavy benchmarks.
Gemma 4 26B A4B (Reasoning) reaches a 22.4 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
Gemma 4 26B A4B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen3 30B A3B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
