Phi 4 vs Qwen3 235B A22B Thinking 2507
| Signal | Phi 4 | Delta | Qwen3 235B A22B Thinking 2507 |
|---|---|---|---|
Capabilities | 33 | -17 | |
Benchmarks | 65 | +1 | |
Pricing | 100 | +3 | |
Context window size | 67 | -14 | |
Recency | 12 | -36 | |
Output Capacity | 67 | -1 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
61
current score
Qwen3 235B A22B Thinking 2507
right now
64.7
current score
Phi 4
Microsoft
Qwen3 235B A22B Thinking 2507
Alibaba
Phi 4 saves you $206.00/month
That's $2472.00/year compared to Qwen3 235B A22B Thinking 2507 at your current usage level of 100K calls/month.
| Metric | Phi 4 | Qwen3 235B A22B Thinking 2507 | Winner |
|---|---|---|---|
| Overall Score | 61 | 65 | Qwen3 235B A22B Thinking 2507 |
| Rank | #158 | #149 | Qwen3 235B A22B Thinking 2507 |
| Quality Rank | #158 | #149 | Qwen3 235B A22B Thinking 2507 |
| Adoption Rank | #158 | #149 | Qwen3 235B A22B Thinking 2507 |
| Parameters | -- | 235B | -- |
| Context Window | 16K | 128K | Qwen3 235B A22B Thinking 2507 |
| Pricing | $0.07/$0.14/M | $0.45/$3.50/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 50 | Qwen3 235B A22B Thinking 2507 |
| Benchmarks | 65 | 64 | Phi 4 |
| Pricing | 100 | 97 | Phi 4 |
| Context window size | 67 | 81 | Qwen3 235B A22B Thinking 2507 |
| Recency | 12 | 47 | Qwen3 235B A22B Thinking 2507 |
| Output Capacity | 67 | 67 | Qwen3 235B A22B Thinking 2507 |
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 61/100 (rank #158), placing it in the top 46% of all 290 models tracked.
Scores 65/100 (rank #149), placing it in the top 49% of all 290 models tracked.
With only a 4-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.
Choose Phi 4 when you need:
- High-volume production workloads where API costs must be minimized
- Self-hosted deployments where you need full control over the model
Choose Qwen3 235B A22B Thinking 2507 when you need:
- Processing long documents or large codebases (128K token context)
- Agentic applications using tool/function calling
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Phi 4 offers 95% better value per quality point. At 1M tokens/day, you'd spend $3.15/month with Phi 4 vs $59.25/month with Qwen3 235B A22B Thinking 2507 - a $56.10 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 (128K 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 (65/100) correlates with better nuance, coherence, and style in long-form content
Qwen3 235B A22B Thinking 2507 has a moderate advantage with a 3.700000000000003-point lead in composite score. It wins on more signal dimensions, but Phi 4 has specific strengths that could make it the better choice for certain workflows.
By Use Case
Best for Quality
Phi 4
Marginally better benchmark scores; both are excellent
Best for Cost
Phi 4
95% 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
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 95% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Phi 4 | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Phi 4
Microsoft
Qwen3 235B A22B Thinking 2507
Alibaba
Phi 4 saves you $4.72/month
That's 94% cheaper than Qwen3 235B A22B Thinking 2507 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 235B A22B Thinking 2507 |
|---|---|---|
| Context Window | 16K | 128K |
| Max Output Tokens | 14,745 | 16,384 |
| Open Source | Yes | Yes |
| Created | Jan 10, 2025 | Jul 25, 2025 |