| Signal | GPT-4 | Delta | GPT-4 Turbo (older v1106) |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 60 | +30 | |
Context window size | 62 | -19 | |
Recency | 0 | -- | |
Output Capacity | 60 | -- | |
| Overall Result | 1 wins | of 5 | 1 wins |
9
days higher
4
days
17
days higher
OpenAI
OpenAI
GPT-4 Turbo (older v1106) saves you $3500.00/month
That's $42000.00/year compared to GPT-4 at your current usage level of 100K calls/month.
| Metric | GPT-4 | GPT-4 Turbo (older v1106) | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #298 | #296 | GPT-4 Turbo (older v1106) |
| Quality Rank | #298 | #296 | GPT-4 Turbo (older v1106) |
| Adoption Rank | #298 | #296 | GPT-4 Turbo (older v1106) |
| Parameters | -- | -- | -- |
| Context Window | 8K | 128K | GPT-4 Turbo (older v1106) |
| Pricing | $30.00/$60.00/M | $10.00/$30.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | GPT-4 |
| Pricing | 60 | 30 | GPT-4 |
| Context window size | 62 | 81 | GPT-4 Turbo (older v1106) |
| Recency | 0 | 0 | GPT-4 |
| Output Capacity | 60 | 60 | GPT-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%). Here's what the scores mean for these two models:
Scores 40/100 (rank #298), placing it in the top -2% of all 290 models tracked.
Scores 40/100 (rank #296), placing it in the top -2% 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.
GPT-4 Turbo (older v1106) offers 56% better value per quality point. At 1M tokens/day, you'd spend $600.00/month with GPT-4 Turbo (older v1106) vs $1350.00/month with GPT-4 - a $750.00 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. GPT-4 Turbo (older v1106) 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 ($30.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
GPT-4 and GPT-4 Turbo (older v1106) are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4 Turbo (older v1106)
56% lower pricing; better value at scale
Best for Reliability
GPT-4
Higher uptime and faster response speeds
Best for Prototyping
GPT-4
Stronger community support and better developer experience
Best for Production
GPT-4
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4 | GPT-4 Turbo (older v1106) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
GPT-4 Turbo (older v1106) saves you $72.00/month
That's 57% cheaper than GPT-4 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 | GPT-4 Turbo (older v1106) |
|---|---|---|
| Context Window | 8K | 128K |
| Max Output Tokens | 4,096 | 4,096 |
| Open Source | No | No |
| Created | May 28, 2023 | Nov 6, 2023 |
Both GPT-4 and GPT-4 Turbo (older v1106) score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
GPT-4 is ranked #298 and GPT-4 Turbo (older v1106) is ranked #296 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
GPT-4 Turbo (older v1106) is cheaper at $30.00/M output tokens vs GPT-4's $60.00/M output tokens - 2.0x more expensive. Input token pricing: GPT-4 at $30.00/M vs GPT-4 Turbo (older v1106) at $10.00/M.
GPT-4 Turbo (older v1106) has a larger context window of 128,000 tokens compared to GPT-4's 8,191 tokens. A larger context window means the model can process longer documents and conversations.