Gemini vs Groq: which should you use?
A side-by-side look at Gemini and Groq — context window, price per million tokens, and what each one is actually better at. In Blend you can use both and switch mid-conversation.
Model data updated: 2026-10-04
Short answer
Neither wins every task. Gemini and Groq each have questions they answer better, which is why picking one for everything costs you quality. Blend routes each question to whichever fits, so you do not have to decide up front.
- GPT-OSS 120B is the cheaper of the two on input tokens ($0.15 per 1M).
- Gemini 2.5 Pro takes the longer context window (1.0M tokens).
| Representative model | Provider | Context | Input | Output | Images |
|---|---|---|---|---|---|
| Gemini — Gemini 2.5 Pro | 1.0M | $1.25 | $10 | Yes | |
| Groq — GPT-OSS 120B | Groq | 131K | $0.15 | $0.60 | — |
Input / Output: per 1M tokens. Prices are the providers’ list prices in USD per million tokens and can change at any time. Use them for comparison, not billing.
- On input tokens, Gemini costs about 8.3× what Groq costs.
- On output tokens, the gap is about 17× in favour of Groq.
Gemini models you can use in Blend
| Model | Context | Input | Output | Images |
|---|---|---|---|---|
| Gemini 2.5 Pro | 1.0M | $1.25 | $10 | Yes |
| Gemini Pro | 1.0M | $0.10 | $0.40 | Yes |
| Gemma 4 31B IT | 262K | $0.10 | $0.40 | Yes |
| Gemma 4 26B IT | 262K | $0.10 | $0.40 | Yes |
| Gemini 3.8 Flash | 1.0M | — | — | Yes |
Blend currently exposes 7 Gemini models with published pricing or context figures.
Groq models you can use in Blend
| Model | Context | Input | Output | Images |
|---|---|---|---|---|
| GPT-OSS 120B | 131K | $0.15 | $0.60 | — |
| Qwen 3.6 27B | 131K | $0.60 | $3 | — |
| GPT-OSS 20B | 131K | $0.07 | $0.30 | — |
Blend currently exposes 3 Groq models with published pricing or context figures.
What Gemini is good at
Strong price-to-performance with fast responses and generous free access — the model behind Blend’s free trial.
- Excellent cost per token
- Fast responses for everyday questions
- Long context and solid multilingual support
What Groq is good at
Open models served on Groq hardware — the fastest first-token latency available in Blend.
- Extremely fast first response
- Low cost for high volume
- Open models you can self-host elsewhere
Tasks where Gemini is the first pick
Tasks where Groq is the first pick
Frequently asked
Is Gemini or Groq cheaper?
GPT-OSS 120B has the lower input price at $0.15 per million tokens, based on the registry figures in the table above.
Which handles longer documents, Gemini or Groq?
Gemini 2.5 Pro takes the longer context window at 1.0M tokens, so it can read more of a long file in one pass.
How many Gemini and Groq models does Blend include?
7 from Gemini and 3 from Groq, and the list updates automatically when a provider adds or retires a model.
Can I ask Gemini and Groq the same question at once?
Yes. Blend sends one question to both and puts the answers side by side, and a second model can fact-check the first. There is a free daily tier with no signup.
Blend — one question, multiple AIs, better answers
Related comparisons
Model capabilities and prices change often. Figures come from Blend’s automatically synced registry and are shown for comparison. All model prices · Terms · Privacy Policy · Refund