| Signal | GPT-4 Turbo (older v1106) | Delta | Qwen2.5 Coder 7B Instruct |
|---|---|---|---|
Capabilities | 50 | +17 | |
Pricing | 30 | +30 | |
Context window size | 81 | +9 | |
Recency | 0 | -69 | |
Output Capacity | 60 | +40 | |
Benchmarks | 0 | -31 | |
| Overall Result | 4 wins | of 6 | 2 wins |
8
days higher
5
days
17
days higher
OpenAI
Alibaba
Qwen2.5 Coder 7B Instruct saves you $2492.50/month
That's $29910.00/year compared to GPT-4 Turbo (older v1106) at your current usage level of 100K calls/month.
| Metric | GPT-4 Turbo (older v1106) | Qwen2.5 Coder 7B Instruct | Winner |
|---|---|---|---|
| Overall Score | 43 | 43 | GPT-4 Turbo (older v1106) |
| Rank | #286 | #287 | GPT-4 Turbo (older v1106) |
| Quality Rank | #286 | #287 | GPT-4 Turbo (older v1106) |
| Adoption Rank | #286 | #287 | GPT-4 Turbo (older v1106) |
| Parameters | -- | 7B | -- |
| Context Window | 128K | 33K | GPT-4 Turbo (older v1106) |
| Pricing | $10.00/$30.00/M | $0.03/$0.09/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | GPT-4 Turbo (older v1106) |
| Pricing | 30 | 0 | GPT-4 Turbo (older v1106) |
| Context window size | 81 | 72 | GPT-4 Turbo (older v1106) |
| Recency | 0 | 69 | Qwen2.5 Coder 7B Instruct |
| Output Capacity | 60 | 20 | GPT-4 Turbo (older v1106) |
| Benchmarks | -- | 31 | Qwen2.5 Coder 7B Instruct |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 43/100 (rank #286), placing it in the top 2% of all 290 models tracked.
Scores 43/100 (rank #287), placing it in the top 1% 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.
Qwen2.5 Coder 7B Instruct offers 100% better value per quality point. At 1M tokens/day, you'd spend $1.80/month with Qwen2.5 Coder 7B Instruct vs $600.00/month with GPT-4 Turbo (older v1106) - a $598.20 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Qwen2.5 Coder 7B Instruct 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 ($0.09/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (43/100) correlates with better nuance, coherence, and style in long-form content
GPT-4 Turbo (older v1106) and Qwen2.5 Coder 7B Instruct are extremely close in overall performance (only 0.10000000000000142 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4 Turbo (older v1106)
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen2.5 Coder 7B Instruct
100% lower pricing; better value at scale
Best for Reliability
GPT-4 Turbo (older v1106)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4 Turbo (older v1106)
Stronger community support and better developer experience
Best for Production
GPT-4 Turbo (older v1106)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4 Turbo (older v1106) | Qwen2.5 Coder 7B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Alibaba
Qwen2.5 Coder 7B Instruct saves you $53.84/month
That's 100% cheaper than GPT-4 Turbo (older v1106) 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 | GPT-4 Turbo (older v1106) | Qwen2.5 Coder 7B Instruct |
|---|---|---|
| Context Window | 128K | 33K |
| Max Output Tokens | 4,096 | -- |
| Open Source | No | Yes |
| Created | Nov 6, 2023 | Apr 15, 2025 |
GPT-4 Turbo (older v1106) scores 43/100 (rank #286) compared to Qwen2.5 Coder 7B Instruct's 43/100 (rank #287), giving it a 0-point advantage. GPT-4 Turbo (older v1106) is the stronger overall choice, though Qwen2.5 Coder 7B Instruct may excel in specific areas like cost efficiency.
GPT-4 Turbo (older v1106) is ranked #286 and Qwen2.5 Coder 7B Instruct is ranked #287 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Qwen2.5 Coder 7B Instruct is cheaper at $0.09/M output tokens vs GPT-4 Turbo (older v1106)'s $30.00/M output tokens - 333.3x more expensive. Input token pricing: GPT-4 Turbo (older v1106) at $10.00/M vs Qwen2.5 Coder 7B Instruct at $0.03/M.
GPT-4 Turbo (older v1106) has a larger context window of 128,000 tokens compared to Qwen2.5 Coder 7B Instruct's 32,768 tokens. A larger context window means the model can process longer documents and conversations.