| Signal | GPT-4 Turbo (older v1106) | Delta | GPT-4 Turbo Preview |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 30 | -- | |
Context window size | 81 | -- | |
Recency | 0 | -- | |
Output Capacity | 60 | -- | |
| Overall Result | 0 wins | of 5 | 0 wins |
9
days higher
4
days
17
days higher
OpenAI
OpenAI
| Metric | GPT-4 Turbo (older v1106) | GPT-4 Turbo Preview | Winner |
|---|---|---|---|
| Overall Score | 43 | 43 | -- |
| Rank | #286 | #285 | GPT-4 Turbo Preview |
| Quality Rank | #286 | #285 | GPT-4 Turbo Preview |
| Adoption Rank | #286 | #285 | GPT-4 Turbo Preview |
| Parameters | -- | -- | -- |
| Context Window | 128K | 128K | -- |
| Pricing | $10.00/$30.00/M | $10.00/$30.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | GPT-4 Turbo (older v1106) |
| Pricing | 30 | 30 | GPT-4 Turbo (older v1106) |
| Context window size | 81 | 81 | GPT-4 Turbo (older v1106) |
| Recency | 0 | 0 | GPT-4 Turbo (older v1106) |
| Output Capacity | 60 | 60 | GPT-4 Turbo (older v1106) |
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 #285), 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.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 (43/100) correlates with better nuance, coherence, and style in long-form content
GPT-4 Turbo (older v1106) and GPT-4 Turbo Preview 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 Turbo (older v1106)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4 Turbo (older v1106)
0% 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) | GPT-4 Turbo Preview |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-4 Turbo (older v1106) | GPT-4 Turbo Preview |
|---|---|---|
| Context Window | 128K | 128K |
| Max Output Tokens | 4,096 | 4,096 |
| Open Source | No | No |
| Created | Nov 6, 2023 | Jan 25, 2024 |
Both GPT-4 Turbo (older v1106) and GPT-4 Turbo Preview score 43/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
GPT-4 Turbo (older v1106) is ranked #286 and GPT-4 Turbo Preview is ranked #285 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.
GPT-4 Turbo (older v1106) is cheaper at $30.00/M output tokens vs GPT-4 Turbo Preview's $30.00/M output tokens - 1.0x more expensive. Input token pricing: GPT-4 Turbo (older v1106) at $10.00/M vs GPT-4 Turbo Preview at $10.00/M.
GPT-4 Turbo (older v1106) has a larger context window of 128,000 tokens compared to GPT-4 Turbo Preview's 128,000 tokens. A larger context window means the model can process longer documents and conversations.