GPT-4 Turbo vs Vision Large vs Sonar Pro
Vision Large comes out ahead, 84 to 40 and 28 on our weighted score.
OpenAIGPT-4 Turbo
40/100- ECI—
- Price$10.00 / $30.00
- Context128K
- Our pick
VisparkVision Large
84/100- ECI—
- Price—
- Context1M
PerplexitySonar Pro
28/100- ECI—
- Price$3.00 / $15.00
- Context200K
Vision Large is our pick
Vision Large is the better all-round choice, scoring 84/100 against GPT-4 Turbo (40) and Sonar Pro (28). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceSonar ProSonar Pro $6.00 · GPT-4 Turbo $15.00 per 1M tokens (3:1 blend) · Vision Large unpriced
- Longest contextVision LargeVision Large 1,000,000 · Sonar Pro 200,000 · GPT-4 Turbo 128,000 tokens
- Widest inputsVision LargeGPT-4 Turbo: Text, Images · Vision Large: Text, Images, PDFs, Audio, Video · Sonar Pro: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-4 Turbo | Vision Large | Sonar Pro |
|---|---|---|---|---|
| Inputs & features | 60% | 50 | 100 | 25 |
| Context window | 40% | 24 | 60 | 32 |
| Overall | 100% | 40/100 | 84/100 | 28/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-4 TurboOpenAI | Vision LargeVispark | Sonar ProPerplexity |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $10.00 | — | $3.00 (best) |
| Output | $30.00 | — | $15.00 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $15.00 | — | $6.00 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Official OpenAI API | — | Official Perplexity API |
| Limits | |||
| Context window | 128,000 tokens | 1,000,000 tokens (best) | 200,000 tokens |
| Max output | 4,096 tokens | 65,536 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-4-turbo | — | sonar-pro |
| API providers | 12 (best) | — | 5 |
| Released | Nov 6, 2023 | May 15, 2024 | Jan 1, 2024 |
| Knowledge cutoff | Dec 2023 | — | Sep 1, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-4 Turbo$160.00
- Vision Large—
- Sonar Pro$60.00
Which should you choose?
Which is better: GPT-4 Turbo, Vision Large or Sonar Pro?
Vision Large is the better all-round choice, scoring 84/100 against GPT-4 Turbo (40) and Sonar Pro (28). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GPT-4 Turbo, Vision Large or Sonar Pro?
Sonar Pro is cheaper at $3.00 input / $15.00 output per million tokens (official Perplexity API price). GPT-4 Turbo costs $10.00 input / $30.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $6.00 per million tokens for Sonar Pro versus $15.00 for GPT-4 Turbo (2.5× as much). Vision Large has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-4 Turbo has not been scored yet, Vision Large has not been scored yet and Sonar Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-4 Turbo, Vision Large and Sonar Pro yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Sonar Pro does not support tool calling, which most coding agents need.
Which has the bigger context window?
Vision Large has the largest context window at 1,000,000 tokens, against 200,000 for Sonar Pro and 128,000 for GPT-4 Turbo. Maximum output per response: GPT-4 Turbo up to 4,096, Vision Large up to 65,536, Sonar Pro up to 8,192 tokens.
Which can read images, PDFs, audio or video?
GPT-4 Turbo accepts text and images; Vision Large accepts text, images, PDFs, audio and video; Sonar Pro accepts text and images. Vision Large handles the widest range of inputs.
Are any of these open source?
No. GPT-4 Turbo, Vision Large and Sonar Pro are proprietary and only available through APIs and apps.
Which is newer?
Vision Large is the newest, released May 15, 2024. Sonar Pro came out Jan 1, 2024; GPT-4 Turbo came out Nov 6, 2023. Knowledge cutoff: GPT-4 Turbo Dec 2023, Sonar Pro Sep 1, 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
