text model comparison
Gemini 3.8 Flash vs GPT-6.1 Terra
Gemini 3.8 Flash and GPT-6.1 Terra are both current text models, from Google and OpenAI. Gemini 3.8 Flash is 25% cheaper per 1M input tokens than GPT-6.1 Terra, $0.75 vs $1. On Arena WebDev, Gemini 3.8 Flash scores 1583 Elo and GPT-6.1 Terra 1673 Elo (Arena, measured October 28, 2026). Both accept about 1.05M tokens of context (1,050,000 and 1,048,576).
- Higher Arena WebDev
- GPT-6.1 Terra1673 Elo against 1583 Elo
- Lower price per 1M input tokens
- Gemini 3.8 Flash$0.75 against $1
- Longer context window
- GPT-6.1 Terra1.05M tokens against 1.05M tokens
- Newer release
- GPT-6.1 TerraOct 2026 against Sep 2026
Data verified November 3, 2026 · Dataset 2026-11-03
Side by side
Gemini 3.8 Flash and GPT-6.1 Terra, line by line
Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.
| Fact | Gemini 3.8 Flash | GPT-6.1 Terra |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $0.75 (better) | $1 |
| Price per 1M output tokens | $3.75 (better) | $5 |
| Independent benchmarks | ||
| Arena WebDev | 1583 Elo (#25 of 45) | 1673 Elo (#10 of 45) (better) |
| FrontierMath Tiers 1-3 (v2) | 68.4% (#26 of 42) | 90.9% (#4 of 42) (better) |
| GPQA Diamond | 95.4% (#4 of 41) (better) | 94.3% (#7 of 41) |
| SimpleQA Verified | 69.7% (#8 of 38) (better) | 57.3% (#15 of 38) |
| Arena Text | 1496 Elo (#6 of 51) | Not measured |
| Specs | ||
| Provider | OpenAI | |
| Release date | September 2, 2026 | October 26, 2026 |
| Access | API only | API only |
| Context window | 1,048,576 tokens | 1,050,000 tokens |
| Max output | 65,536 tokens | 128,000 tokens |
| Input | text, image, audio, video | text, image |
| Output | text | text |
Charts
Against every current text model
Where Gemini 3.8 Flash and GPT-6.1 Terra land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
On Arena WebDev, Gemini 3.8 Flash ranks #25 and GPT-6.1 Terra #10 of 45 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
Gemini 3.8 Flash:#6of 51
1,496 Elo · ahead of 90%
GPT-6.1 Terra: Not scored
Arena WebDev
Gemini 3.8 Flash:#25of 45
1,583 Elo · ahead of 45%
GPT-6.1 Terra:#10of 45
1,673 Elo · ahead of 80%
FrontierMath Tiers 1-3 (v2)
Gemini 3.8 Flash:#26of 42
68.4% · ahead of 39%
GPT-6.1 Terra:#4of 42
90.9% · ahead of 93%
GPQA Diamond
Gemini 3.8 Flash:#4of 41
95.4% · ahead of 90%
GPT-6.1 Terra:#7of 41
94.3% · ahead of 83%
SimpleQA Verified
Gemini 3.8 Flash:#8of 38
69.7% · ahead of 78%
GPT-6.1 Terra:#15of 38
57.3% · ahead of 62%
Price and context
Price per 1M input tokens
Gemini 3.8 Flash:#20of 52
$0.75 · cheaper than 63%
GPT-6.1 Terra:#21of 52
$1 · cheaper than 59%
Price per 1M output tokens
Gemini 3.8 Flash:#23of 52
$3.75 · cheaper than 57%
GPT-6.1 Terra:#27of 52
$5 · cheaper than 49%
Context window
Gemini 3.8 Flash:#11of 64
1.05M tokens · longer than 67%
GPT-6.1 Terra:#1of 64
1.05M tokens · longer than 86%
Quality against price
Gemini 3.8 Flash scores 1,496 at $1.50 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.
Quality against price: the data
| Model | Provider | Blended price per 1M tokens | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Argon | $4 | 1,520 | |
| Claude Opus 5.5 | Anthropic | $8 | 1,509 |
| Muse Wonder | Meta | $8 | 1,507 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,504 |
| Gemini 3.8 Flash | $1.50 | 1,496 | |
| Muse Spark 1.3 | Meta | $2 | 1,495 |
| Claude Opus 5 | Anthropic | $10 | 1,492 |
| Kimi K3 | Moonshot Kimi | $6 | 1,488 |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| Gemini 3.6 Flash | $3 | 1,483 | |
| GPT-5.5 | OpenAI | $11 | 1,482 |
| Claude Opus 4.8 | Anthropic | $10 | 1,482 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,482 |
| GPT-6.1 Sol | OpenAI | $4 | 1,481 |
| GLM-5.3 | Z.ai | $2.15 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,477 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,477 |
| GPT-6 Astra | OpenAI | $20 | 1,476 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,476 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,467 |
| Grok 4.5 | xAI | $3 | 1,465 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,465 |
| Claude Sonnet 5 | Anthropic | $4 | 1,462 |
| GPT-6 Sol | OpenAI | $4 | 1,458 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,456 | |
| Grok 4.6 | xAI | $3 | 1,455 |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,453 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,448 |
| Step 5 Preview | StepFun | $1.43 | 1,448 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| GPT-6 Luna | OpenAI | $0.20 | 1,441 |
| Grok 4.7 | xAI | $3 | 1,441 |
| Mistral Large 4 | Mistral AI | $1.05 | 1,432 |
| Claude Haiku 5.5 | Anthropic | $0.20 | 1,425 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Solar Pro 4 | Upstage | $0.52 | 1,388 |
| GPT-4.1 mini | OpenAI | $0.70 | 1,383 |
| GPT-4.1 nano | OpenAI | $0.18 | 1,322 |
Cost
What each costs
Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.
The same work, priced
For 10M input and 2M output tokens, GPT-6.1 Terra costs 1.3 times as much as Gemini 3.8 Flash, at each provider's listed rates.
10M input and 2M output tokens
GPT-6.1 Terra costs 1.3× as much
- Gemini 3.8 Flash
- $15
- GPT-6.1 Terra
- $20
The same, with 9M of the input tokens cached
GPT-6.1 Terra costs 1.3× as much
- Gemini 3.8 Flash
- $8.93
- GPT-6.1 Terra
- $11.45
| Workload or rate | Gemini 3.8 Flash | GPT-6.1 Terra |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $15 (better) | $20 |
| The same, with 9M of the input tokens cached | $8.93 (better) | $11.45 |
| The same, through the batch API | $7.50 | Not listed |
| Other listed rates | ||
| 1M input tokens, cached | $0.075 | $0.05 (better) |
| 1M input tokens, batch | $0.375 | Not listed |
| 1M output tokens, batch | $1.875 | Not listed |
| 1M input tokens, prompts over 272K tokens | Not listed | $2 |
| 1M output tokens, prompts over 272K tokens | Not listed | $7.50 |
| 1M input tokens, priority | $1.35 | Not listed |
| 1M output tokens, priority | $6.75 | Not listed |
Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.
Launch price $100, regular price $150
Verdict
When to choose each
Gemini 3.8 Flash
Where it leads
- Lower input and output prices, $0.75 and $3.75 vs $1 and $5 per 1M tokens
- Higher GPQA Diamond score, 95.4% vs 94.3%
- Higher SimpleQA Verified score, 69.7% vs 57.3%
- Accepts audio and video input
- Batch pricing, $0.375 input and $1.875 output per 1M tokens
Best for
- High-volume agentic and coding workloads where per-token cost dominates the decision
- Multimodal pipelines that need audio, video and PDF input in one model
Watch out for
- The listed price is promotional and ends 31 December 2026; on 1 January 2027 input and output both double, to $1.50 and $7.50, and cached input goes from $0.075 to $0.15
- Output pricing is billed inclusive of thinking tokens, so reasoning-heavy prompts cost more than the output length suggests
- Google’s published comparisons are against its own previous Flash release and were not independently reproduced here
GPT-6.1 Terra
Where it leads
- Higher Arena WebDev score, 1673 Elo vs 1583 Elo
- Higher FrontierMath Tiers 1-3 (v2) score, 90.9% vs 68.4%
- Longer responses, up to 128,000 vs 65,536 output tokens
- Cheaper cached input, $0.05 vs $0.075 per 1M tokens
Best for
- Computer-use and tool-calling agents at half GPT-6.1 Sol's price
- High-volume reasoning work that stays under the 272K long-context threshold
Watch out for
- Prompts over 272,000 input tokens bill the whole request at $2 input and $7.50 output per 1M tokens
- Reads text and images only: audio and video input are not supported
From benchmark to production
Building on Gemini 3.8 Flash or GPT-6.1 Terra?
Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.
AI Model Cost AuditLaunch price $100, regular price $150What the audit includes
FAQ
Gemini 3.8 Flash vs GPT-6.1 Terra FAQ
Which is cheaper, Gemini 3.8 Flash or GPT-6.1 Terra?
Gemini 3.8 Flash is 25% cheaper per 1M input tokens than GPT-6.1 Terra, $0.75 vs $1. For 10M input and 2M output tokens, Gemini 3.8 Flash costs $15 and GPT-6.1 Terra $20 at standard rates.
Which is cheaper with prompt caching, Gemini 3.8 Flash or GPT-6.1 Terra?
Gemini 3.8 Flash charges $0.075 per 1M cached input tokens, 90% below its standard input rate, and GPT-6.1 Terra $0.05, 95% below. With 9M of 10M input tokens cached and 2M output tokens, Gemini 3.8 Flash costs $8.93 and GPT-6.1 Terra $11.45.
Which scores higher on independent benchmarks, Gemini 3.8 Flash or GPT-6.1 Terra?
GPT-6.1 Terra leads on Arena WebDev, 1673 Elo to 1583 Elo; GPT-6.1 Terra leads on FrontierMath Tiers 1-3 (v2), 90.9% to 68.4%; Gemini 3.8 Flash leads on GPQA Diamond, 95.4% to 94.3%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, Gemini 3.8 Flash or GPT-6.1 Terra?
Both accept about 1.05M tokens of context (1,050,000 and 1,048,576). GPT-6.1 Terra returns up to 128,000 tokens per response, Gemini 3.8 Flash 65,536.
How do Gemini 3.8 Flash and GPT-6.1 Terra differ in features?
Gemini 3.8 Flash takes text, image, audio and video input; GPT-6.1 Terra takes text and image.
Further reading
More on Gemini 3.8 Flash and GPT-6.1 Terra
Articles on Gemini 3.8 Flash and GPT-6.1 Terra
- GPT-6.1 Terra: Price, Benchmarks and When to Use ItOctober 27, 2026
- Gemini 3.8 Flash TTS: Price, Rankings and the Fine PrintSeptember 25, 2026
Related comparisons
- Gemini 3.8 Flash vs Mistral Large 4
- GPT-6.1 Sol vs GPT-6.1 Terra
- Gemini 3.8 Flash vs Gemini 4 Argon
- GPT-6.1 Terra vs Grok 4.20
- Gemini 3.8 Flash vs GPT-6.1 Sol
- GPT-6.1 Terra vs Grok 4.3
- Claude Sonnet 5.5 vs Gemini 3.8 Flash
- GPT-6.1 Terra vs Mistral Large 4
- Claude Opus 5.5 vs Gemini 3.8 Flash
- GPT-5.6 Terra vs GPT-6.1 Terra
- DeepSeek-V4.1-Flash vs Gemini 3.8 Flash
- GPT-6.1 Terra vs Muse Spark 1.3
Production evaluation
Choosing between Gemini 3.8 Flash and GPT-6.1 Terra?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty