AI Model Picker comparison
Gemini 3.8 Flash vs GPT-6.1 Sol
Both products reached the final shortlist for the same buyer profile — Balanced Daily Driver — in the AI Model Picker. Your answers favor one capable middle tier for mixed coding, writing, and analysis — without always paying frontier rates.
Gemini 3.8 Flash
Google Flash tier · Intro $0.75 / $3.75 per 1M tokens through 2026-12-31, then $1.50 / $7.50 · Not independently rated
OpenAI
GPT-6.1 Sol
OpenAI balanced · $2 / $10 per 1M tokens (≤272K input); $4 / $15 above · Not independently rated
| What differs | Gemini 3.8 Flash | GPT-6.1 Sol |
|---|---|---|
| Vendor | ||
| Vendor | OpenAI | |
| Positioning | ||
| Positioning | Google Flash tier | OpenAI balanced |
| Price positioning | ||
| Price positioning | Intro $0.75 / $3.75 per 1M tokens through 2026-12-31, then $1.50 / $7.50 | $2 / $10 per 1M tokens (≤272K input); $4 / $15 above |
| Editorial rating | ||
| Editorial rating | Not independently rated | Not independently rated |
| Best for | ||
| Best for | Agentic coding at scale where cost per successful task matters. | Everyday reasoning, coding, and agent work on the OpenAI stack. |
Features
What each one leads with
The standout capabilities recorded for each product in the recommendation data.
Gemini 3.8 Flash
- 1M context (verified on profile)
- Multimodal input incl. video and audio
- Terminal-Bench 2.1 89.4% (Google launch table)
GPT-6.1 Sol
- 1.05M context and 128K max output
- Reasoning effort low to max; none/minimal unsupported
- Text and image input
Trade-offs
Pros and cons, side by side
The strengths and the catches the decision tool already weighs for this buyer profile.
Gemini 3.8 Flash
Pros
- 73.8% DeepSWE 1.1 at $2.36/task on the independent board
- Intro rates through end of 2026
Cons
- Intro pricing doubles on 2027-01-01
- Can consume more tokens than 3.7 Flash
GPT-6.1 Sol
Pros
- Same base price as GPT-6 Sol; lower cached-input rate
- AA Intelligence Index v4.3.2 52 at max (publisher-rounded)
Cons
- Higher whole-request rates above 272K input
- Benchmark scores depend on the effort and harness
The verdict
Who should pick which
Assembled from the same recommendation fields the tool scores on — not a universal winner.
Both products are finalists for the same buyer profile, so this is a fit decision rather than a category decision. Gemini 3.8 Flash is aimed at agentic coding at scale where cost per successful task matters. GPT-6.1 Sol is aimed at everyday reasoning, coding, and agent work on the OpenAI stack. Neither product has an independently verified rating here, so use the fit criteria and current product evidence rather than a synthetic score.
Choose Gemini 3.8 Flash if…
Agentic coding at scale where cost per successful task matters.
Watch out for
Intro pricing doubles on 2027-01-01
Intro $0.75 / $3.75 per 1M tokens through 2026-12-31, then $1.50 / $7.50
Choose GPT-6.1 Sol if…
Everyday reasoning, coding, and agent work on the OpenAI stack.
Watch out for
Higher whole-request rates above 272K input
$2 / $10 per 1M tokens (≤272K input); $4 / $15 above
Common questions
Gemini 3.8 Flash vs GPT-6.1 Sol
Answered from the verified figures on this page rather than general guidance.
Is Gemini 3.8 Flash or GPT-6.1 Sol cheaper?
Which is rated higher, Gemini 3.8 Flash or GPT-6.1 Sol?
Should I choose Gemini 3.8 Flash or GPT-6.1 Sol?
What is the catch with Gemini 3.8 Flash and GPT-6.1 Sol?
A head-to-head answers one question: of the two finalists for this buyer profile, which fits your situation. If neither “best for” line matches, run the full tool — its other profiles exist for different buyers.