Model Comparison
Qwen3 VL 8B Instruct
vs. M (Reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba, Sarvam
Recommended Pick
Sa M (Reasoning) 9 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
M (Reasoning)
$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
Price gap
M (Reasoning) is ∞x cheaper on input tokens than Qwen3 VL 8B Instruct.
Reasoning gap
M (Reasoning) leads Qwen3 VL 8B Instruct by 8.8 points on reasoning.
Coding gap
M (Reasoning) leads Qwen3 VL 8B Instruct by 0.2 points on coding.
Top-pick rationale
M (Reasoning) wins 9 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 VL 8B 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 8B Instruct | Top Pick Sa M (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.18/1M | $0.00/1M |
| Output Cost | $0.70/1M | $0.00/1M |
| Blended (3:1) | $0.31/1M | — |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | Oct 14, 2025 | May 23, 2025 |
| Performance & Speed | ||
| Throughput | 145.5 tok/s | — |
| TTFT | 925ms | — |
| Latency | 925ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 22.9 | 31.7 |
| Intelligence | 14.3 | 8.4 |
| Coding | 7.3 | 7.5 |
| Math | 27.3 | — |
| Standard Benchmarks | ||
| GPQA | 42.7% | 41.6% |
| MMLU Pro | 68.6% | 69.6% |
| HLE | 2.9% | 3.3% |
| LiveCodeBench | 33.2% | 29.5% |
| MATH 500 | — | 84.7% |
| AIME 2025 | 27.3% | — |
| AIME (Original) | — | 20.3% |
| SciCode | 17.4% | 17.8% |
| LCR | 15.3% | 0.0% |
| IFBench | 32.3% | 31.8% |
| TAU-bench v2 | 29.2% | 0.0% |
| TerminalBench Hard | 2.3% | 2.3% |
Key Takeaways
M (Reasoning) 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 8B Instruct
- General-purpose AI
- Versatile applications
M (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
