Model Comparison
Qwen3 VL 4B Instruct
vs. M (Reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba, Sarvam
Recommended Pick
Sa M (Reasoning) 7 metric wins Strongest on: Reasoning, Coding, GPQA
Lowest Price
Qwen3 VL 4B Instruct
$0.00/1M input price
Best Reasoning
M (Reasoning)
31.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
M (Reasoning)
7.5 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Reasoning gap
M (Reasoning) leads Qwen3 VL 4B Instruct by 6.8 points on reasoning.
Coding gap
M (Reasoning) leads Qwen3 VL 4B Instruct by 2.9 points on coding.
Top-pick rationale
M (Reasoning) wins 7 measurable categories, including Reasoning, Coding, GPQA, MMLU Pro.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 VL 4B Instruct
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
M (Reasoning)
Sarvam
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Al Qwen3 VL 4B Instruct | Top Pick Sa M (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | Oct 14, 2025 | May 23, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 24.9 | 31.7 |
| Intelligence | 9.6 | 8.4 |
| Coding | 4.6 | 7.5 |
| Math | 37.0 | — |
| Standard Benchmarks | ||
| GPQA | 37.1% | 41.6% |
| MMLU Pro | 63.4% | 69.6% |
| HLE | 3.7% | 3.3% |
| LiveCodeBench | 29.0% | 29.5% |
| MATH 500 | — | 84.7% |
| AIME 2025 | 37.0% | — |
| AIME (Original) | — | 20.3% |
| SciCode | 13.7% | 17.8% |
| LCR | 13.0% | 0.0% |
| IFBench | 31.8% | 31.8% |
| TAU-bench v2 | 23.4% | 0.0% |
| TerminalBench Hard | 0.0% | 2.3% |
Key Takeaways
Qwen3 VL 4B Instruct offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
M (Reasoning) has the strongest reasoning profile with a 31.7 reasoning score, combining the available reasoning-heavy benchmarks.
M (Reasoning) reaches a 7.5 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
Qwen3 VL 4B Instruct
- Cost-sensitive applications
- High-volume processing
M (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
