Model Comparison
Qwen3 VL 8B Instruct
vs. 105B (high)
Comparing 2 AI models · 10 benchmarks · Alibaba, Sarvam
Recommended Pick
Sa 105B (high) 12 metric wins Strongest on: Value, Input price, Output price
Best Value
105B (high)
100.0 value score
34.0 reasoning / $0.07/1M
Lowest Price
105B (high)
$0.04/1M input price
Best Reasoning
105B (high)
34.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
105B (high)
9.8 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
105B (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
105B (high) is 4.3x cheaper on input tokens than Qwen3 VL 8B Instruct.
Speed gap
Qwen3 VL 8B Instruct generates about 1.7x as many tokens per second as 105B (high).
Reasoning gap
105B (high) leads Qwen3 VL 8B Instruct by 11.1 points on reasoning.
Coding gap
105B (high) leads Qwen3 VL 8B Instruct by 2.5 points on coding.
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
—
105B (high)
Sarvam
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Al Qwen3 VL 8B Instruct | Top Pick Sa 105B (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.18/1M | $0.04/1M |
| Output Cost | $0.70/1M | $0.17/1M |
| Blended (3:1) | $0.31/1M | $0.07/1M |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | Oct 14, 2025 | Mar 6, 2026 |
| Performance & Speed | ||
| Throughput | 146.3 tok/s | 85.6 tok/s |
| TTFT | 925ms | 1257ms |
| Latency | 925ms | 24627ms |
| Composite Indices | ||
| Value Score | 16.1 | 100.0 |
| Reasoning Score | 22.9 | 34.0 |
| Intelligence | 14.3 | 18.2 |
| Coding | 7.3 | 9.8 |
| Math | 27.3 | — |
| Standard Benchmarks | ||
| GPQA | 42.7% | 73.8% |
| MMLU Pro | 68.6% | — |
| HLE | 2.9% | 10.1% |
| LiveCodeBench | 33.2% | — |
| AIME 2025 | 27.3% | — |
| SciCode | 17.4% | 26.4% |
| LCR | 15.3% | 0.0% |
| IFBench | 32.3% | 34.4% |
| TAU-bench v2 | 29.2% | 46.8% |
| TerminalBench Hard | 2.3% | 1.5% |
Key Takeaways
105B (high) offers the best value at $0.04/1M, making it ideal for high-volume applications and cost-conscious projects.
105B (high) has the strongest reasoning profile with a 34.0 reasoning score, combining the available reasoning-heavy benchmarks.
105B (high) reaches a 9.8 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
105B (high)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
