Aya Expanse 8B vs GPT-4
GPT-4 comes out ahead, 15 to 0 on our weighted score, and it is the cheaper option too.
CohereAya Expanse 8B
0/100- ECI—
- Price—
- Context8K
- Our pick
OpenAIGPT-4
15/100- ECI—
- Price$30.00 / $60.00
- Context8K
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Make it a three-way comparison.
GPT-4 is our pick
GPT-4 is the better all-round choice, scoring 15/100 against Aya Expanse 8B (0). It leads on inputs & features. 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 priceGPT-4GPT-4 $37.50 per 1M tokens (3:1 blend) · Aya Expanse 8B unpriced
- Longest contextGPT-4GPT-4 8,192 · Aya Expanse 8B 8,000 tokens
- Widest inputsSame inputsAya Expanse 8B: Text · GPT-4: Text
- Self-hostingAya Expanse 8BPublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | Aya Expanse 8B | GPT-4 |
|---|---|---|---|
| Inputs & features | 60% | 0 | 25 |
| Context window | 40% | 0 | 0 |
| Overall | 100% | 0/100 | 15/100 |
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 | Aya Expanse 8BCohere | GPT-4OpenAI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | $30.00 |
| Output | — | $60.00 |
| Cached input | — | — |
| Blended (3:1) | — | $37.50 |
| Long-context rate | — | Same rate |
| Price source | — | Official OpenAI API |
| Limits | ||
| Context window | 8,000 tokens | 8,192 tokens (best) |
| Max output | 4,000 tokens | 8,192 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenCC-BY-NC-4.0 | Proprietary |
| API model ID | — | gpt-4 |
| API providers | — | 8 |
| Released | Oct 24, 2024 | Nov 6, 2023 |
| Knowledge cutoff | — | Nov 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Aya Expanse 8B—
- GPT-4$420.00
Which should you choose?
Which is better: Aya Expanse 8B or GPT-4?
GPT-4 is the better all-round choice, scoring 15/100 against Aya Expanse 8B (0). It leads on inputs & features. 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, Aya Expanse 8B or GPT-4?
GPT-4 is cheaper at $30.00 input / $60.00 output per million tokens (official OpenAI API price). . At a typical mix of three input tokens to one output token, that is $37.50 per million tokens for GPT-4 versus . Aya Expanse 8B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Aya Expanse 8B has not been scored yet and GPT-4 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Aya Expanse 8B and GPT-4 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Expanse 8B does not support tool calling, which most coding agents need.
Which has the bigger context window?
GPT-4 has the largest context window at 8,192 tokens, against 8,000 for Aya Expanse 8B. Maximum output per response: Aya Expanse 8B up to 4,000, GPT-4 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Aya Expanse 8B accepts text; GPT-4 accepts text. They handle the same number of input types.
Are any of these open source?
Aya Expanse 8B publishes its weights (CC-BY-NC-4.0) and can be self-hosted; GPT-4 is proprietary.
Which is newer?
Aya Expanse 8B is the newest, released Oct 24, 2024. GPT-4 came out Nov 6, 2023. Knowledge cutoff: GPT-4 Nov 2023.
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.
