Model Comparison
Qwen3.5 Omni Flash
vs. M (Reasoning)
Comparing 2 AI models · 11 benchmarks · Alibaba, Sarvam
Recommended Pick
AlQwen3.5 Omni Flash10 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
M (Reasoning)
$0.00/1M input price
Best Reasoning
Qwen3.5 Omni Flash
33.4 reasoning score
Blends available reasoning benchmarks
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 Qwen3.5 Omni Flash.
Reasoning gap
Qwen3.5 Omni Flash leads M (Reasoning) by 2.8 points on reasoning.
Top-pick rationale
Qwen3.5 Omni Flash wins 10 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.5 Omni Flash
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
M (Reasoning)
Sarvam
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Top Pick Al Qwen3.5 Omni Flash | Sa M (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $0.00/1M |
| Output Cost | $0.80/1M | $0.00/1M |
| Blended (3:1) | $0.28/1M | — |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | Mar 30, 2026 | May 23, 2025 |
| Performance & Speed | ||
| Throughput | 245.1 tok/s | — |
| TTFT | 1068ms | — |
| Latency | 1068ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 33.4 | 30.6 |
| Intelligence | 19.0 | 3.0 |
| Standard Benchmarks | ||
| GPQA | 74.2% | 41.6% |
| MMLU Pro | — | 69.6% |
| HLE | 7.1% | 3.3% |
| LiveCodeBench | — | 29.5% |
| MATH 500 | — | 84.7% |
| AIME (Original) | — | 20.3% |
| SciCode | 25.5% | 17.8% |
| LCR | 44.0% | 0.0% |
| IFBench | 38.0% | 31.8% |
| TAU-bench v2 | 84.5% | 0.0% |
| TerminalBench Hard | 8.3% | 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.
Qwen3.5 Omni Flash has the strongest reasoning profile with a 33.4 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen3.5 Omni Flash
- Complex reasoning tasks
- Research & analysis
M (Reasoning)
- Cost-sensitive applications
- High-volume processing
