| Signal | Phi 4 | Delta | Qwen3 8B |
|---|---|---|---|
Capabilities | 33 | -33 | |
Benchmarks | 65 | +5 | |
Pricing | 100 | +0 | |
Context window size | 67 | -6 | |
Recency | 45 | -20 | |
Output Capacity | 70 | +5 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
60.2
current score
Qwen3 8B
right now
60.6
current score
Microsoft
Alibaba
Phi 4 saves you $11.50/month
That's $138.00/year compared to Qwen3 8B at your current usage level of 100K calls/month.
| Metric | Phi 4 | Qwen3 8B | Winner |
|---|---|---|---|
| Overall Score | 60 | 61 | Qwen3 8B |
| Rank | #149 | #147 | Qwen3 8B |
| Quality Rank | #149 | #147 | Qwen3 8B |
| Adoption Rank | #149 | #147 | Qwen3 8B |
| Parameters | -- | 8B | -- |
| Context Window | 16K | 41K | Qwen3 8B |
| Pricing | $0.07/$0.14/M | $0.05/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 67 | Qwen3 8B |
| Benchmarks | 65 | 60 | Phi 4 |
| Pricing | 100 | 100 | Phi 4 |
| Context window size | 67 | 73 | Qwen3 8B |
| Recency | 45 | 64 | Qwen3 8B |
| Output Capacity | 70 | 65 | Phi 4 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 60/100 (rank #149), placing it in the top 49% of all 290 models tracked.
Scores 61/100 (rank #147), placing it in the top 50% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Phi 4 offers 54% better value per quality point. At 1M tokens/day, you'd spend $3.08/month with Phi 4 vs $6.75/month with Qwen3 8B - a $3.67 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Phi 4 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (41K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.14/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (61/100) correlates with better nuance, coherence, and style in long-form content
Phi 4 and Qwen3 8B are extremely close in overall performance (only 0.3999999999999986 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Phi 4
Marginally better benchmark scores; both are excellent
Best for Cost
Phi 4
54% lower pricing; better value at scale
Best for Reliability
Phi 4
Higher uptime and faster response speeds
Best for Prototyping
Phi 4
Stronger community support and better developer experience
Best for Production
Phi 4
Wider enterprise adoption and proven at scale
by Microsoft
| Capability | Phi 4 | Qwen3 8B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Microsoft
Alibaba
Phi 4 saves you $0.2850/month
That's 50% cheaper than Qwen3 8B at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Phi 4 | Qwen3 8B |
|---|---|---|
| Context Window | 16K | 41K |
| Max Output Tokens | 16,384 | 8,192 |
| Open Source | Yes | Yes |
| Created | Jan 10, 2025 | Apr 28, 2025 |