text model comparison
Gemini 3.6 Flash vs GPT-5.6 Luna
Gemini 3.6 Flash and GPT-5.6 Luna are both current text models, from Google and OpenAI. GPT-5.6 Luna is 87% cheaper per 1M input tokens than Gemini 3.6 Flash, $0.20 vs $1.50. On Arena Text, Gemini 3.6 Flash scores 1482 Elo and GPT-5.6 Luna 1452 Elo (Arena, measured October 8, 2026). Both accept about 1.05M tokens of context (1,050,000 and 1,048,576).
- Higher Arena Text
- Gemini 3.6 Flash1482 Elo against 1452 Elo
- Lower price per 1M input tokens
- GPT-5.6 Luna$0.20 against $1.50
- Longer context window
- GPT-5.6 Luna1.05M tokens against 1.05M tokens
- Newer release
- Gemini 3.6 FlashJul 2026 against Jul 2026
Data verified October 12, 2026 · Dataset 2026-10-28
Side by side
Gemini 3.6 Flash and GPT-5.6 Luna, 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 3.6 Flash | GPT-5.6 Luna |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $1.50 | $0.20 (better) |
| Price per 1M output tokens | $7.50 | $1.20 (better) |
| Independent benchmarks | ||
| Arena Text | 1482 Elo (#14 of 49) (better) | 1452 Elo (#34 of 49) |
| GPQA Diamond | 94.1% (#8 of 40) (better) | 91.6% (#20 of 40) |
| FrontierMath Tiers 1-3 (v2) | 58.9% (#29 of 40) | 82.1% (#12 of 40) (better) |
| SimpleQA Verified | 66.2% (#11 of 36) (better) | 41% (#27 of 36) |
| Specs | ||
| Provider | OpenAI | |
| Release date | July 21, 2026 | July 9, 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 3.6 Flash and GPT-5.6 Luna land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
On Arena Text, Gemini 3.6 Flash ranks #14 and GPT-5.6 Luna #34 of 49 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
Gemini 3.6 Flash:#14of 49
1,482 Elo · ahead of 71%
GPT-5.6 Luna:#34of 49
1,452 Elo · ahead of 31%
GPQA Diamond
Gemini 3.6 Flash:#8of 40
94.1% · ahead of 82%
GPT-5.6 Luna:#20of 40
91.6% · ahead of 51%
FrontierMath Tiers 1-3 (v2)
Gemini 3.6 Flash:#29of 40
58.9% · ahead of 28%
GPT-5.6 Luna:#12of 40
82.1% · ahead of 72%
SimpleQA Verified
Gemini 3.6 Flash:#11of 36
66.2% · ahead of 69%
GPT-5.6 Luna:#27of 36
41% · ahead of 23%
Price and context
Price per 1M input tokens
Gemini 3.6 Flash:#27of 51
$1.50 · cheaper than 48%
GPT-5.6 Luna:#7of 51
$0.20 · cheaper than 84%
Price per 1M output tokens
Gemini 3.6 Flash:#31of 51
$7.50 · cheaper than 40%
GPT-5.6 Luna:#10of 51
$1.20 · cheaper than 78%
Context window
Gemini 3.6 Flash:#11of 66
1.05M tokens · longer than 65%
GPT-5.6 Luna:#1of 66
1.05M tokens · longer than 86%
Quality against price
Gemini 3.6 Flash scores 1,482 at $3; GPT-5.6 Luna scores 1,452 at $0.45 (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 | 1,525 | |
| Claude Opus 5.5 | Anthropic | $8 | 1,507 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,501 |
| Gemini 3.8 Flash | $1.50 | 1,497 | |
| Muse Spark 1.3 | Meta | $2 | 1,494 |
| Claude Opus 5 | Anthropic | $10 | 1,490 |
| Kimi K3 | Moonshot Kimi | $6 | 1,488 |
| Gemini 3.7 Flash | $1.50 | 1,486 | |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| GPT-6.1 Sol | OpenAI | $4 | 1,484 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,483 |
| GPT-5.5 | OpenAI | $11 | 1,482 |
| Gemini 3.6 Flash | $3 | 1,482 | |
| Claude Opus 4.8 | Anthropic | $10 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| GLM-5.3 | Z.ai | $2.15 | 1,478 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,476 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| GPT-6 Astra | OpenAI | $20 | 1,475 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,475 |
| GLM-5.3-Flash | Z.ai | $0.24 | 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 | 1,466 |
| Grok 4.5 | xAI | $3 | 1,466 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,465 |
| Claude Sonnet 5 | Anthropic | $4 | 1,461 |
| GPT-6 Sol | OpenAI | $4 | 1,456 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,455 | |
| Grok 4.6 | xAI | $3 | 1,454 |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,452 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,451 |
| GPT-6 Luna | OpenAI | $0.20 | 1,443 |
| Grok 4.7 | xAI | $3 | 1,443 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| Mistral Large 4 | Mistral AI | $2.06 | 1,429 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Solar Pro 4 | Upstage | $0.52 | 1,386 |
| 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, Gemini 3.6 Flash costs 6.8 times as much as GPT-5.6 Luna, at each provider's listed rates.
10M input and 2M output tokens
Gemini 3.6 Flash costs 6.8× as much
- Gemini 3.6 Flash
- $30
- GPT-5.6 Luna
- $4.40
| Workload or rate | Gemini 3.6 Flash | GPT-5.6 Luna |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $30 | $4.40 (better) |
| The same, with 9M of the input tokens cached | Not listed | $2.78 |
| Other listed rates | ||
| 1M input tokens, cached | Not listed | $0.02 |
Verdict
When to choose each
Gemini 3.6 Flash
Where it leads
- Higher Arena Text score, 1482 Elo vs 1452 Elo
- Higher GPQA Diamond score, 94.1% vs 91.6%
- Higher SimpleQA Verified score, 66.2% vs 41%
- Accepts audio and video input
Best for
- Current multimodal agentic evaluations balancing speed and capability
Watch out for
- Not in the pinned LiveBench snapshot; its independent scores here come from Epoch AI's own GPQA Diamond, FrontierMath and SimpleQA Verified runs
GPT-5.6 Luna
Where it leads
- Lower input and output prices, $0.20 and $1.20 vs $1.50 and $7.50 per 1M tokens
- Higher FrontierMath Tiers 1-3 (v2) score, 82.1% vs 58.9%
- Longer responses, up to 128,000 vs 65,536 output tokens
- A cached-input rate, $0.02 per 1M tokens
Best for
- High-volume API evaluation with published low token prices
- Subagents and batch reasoning where cost per call dominates
Watch out for
- Not in the pinned LiveBench snapshot; its independent scores here come from Epoch AI's own GPQA Diamond, FrontierMath and SimpleQA Verified runs
From benchmark to production
Building on Gemini 3.6 Flash or GPT-5.6 Luna?
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.
FAQ
Gemini 3.6 Flash vs GPT-5.6 Luna FAQ
Which is cheaper, Gemini 3.6 Flash or GPT-5.6 Luna?
GPT-5.6 Luna is 87% cheaper per 1M input tokens than Gemini 3.6 Flash, $0.20 vs $1.50. For 10M input and 2M output tokens, Gemini 3.6 Flash costs $30 and GPT-5.6 Luna $4.40 at standard rates.
Do Gemini 3.6 Flash and GPT-5.6 Luna discount cached input?
GPT-5.6 Luna lists a cached-input rate of $0.02 per 1M tokens, 90% below its standard input rate. No cached-input rate is listed for Gemini 3.6 Flash.
Which scores higher on independent benchmarks, Gemini 3.6 Flash or GPT-5.6 Luna?
Gemini 3.6 Flash leads on Arena Text, 1482 Elo to 1452 Elo; Gemini 3.6 Flash leads on GPQA Diamond, 94.1% to 91.6%; GPT-5.6 Luna leads on FrontierMath Tiers 1-3 (v2), 82.1% to 58.9%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, Gemini 3.6 Flash or GPT-5.6 Luna?
Both accept about 1.05M tokens of context (1,050,000 and 1,048,576). GPT-5.6 Luna returns up to 128,000 tokens per response, Gemini 3.6 Flash 65,536.
How do Gemini 3.6 Flash and GPT-5.6 Luna differ in features?
Gemini 3.6 Flash takes text, image, audio and video input; GPT-5.6 Luna takes text and image.
Further reading
More on Gemini 3.6 Flash and GPT-5.6 Luna
Articles on Gemini 3.6 Flash and GPT-5.6 Luna
- Gemini 3.6 Flash vs Claude Opus 5: Route by TierJuly 26, 2026
- GPT-5.6 on Azure Databricks: Production Guide for AI TeamsJuly 11, 2026
- GPT-5.6 In Microsoft 365 Copilot: What Production Teams Should KnowJuly 10, 2026
- Unverified GPT-5.6 soft launch reports and what they mean for AI-assisted software engineering: what is confirmed?June 21, 2026
Related comparisons
- Gemini 3.6 Flash vs Gemini 3.8 Flash
- GPT-5.6 Luna vs GPT-6 Luna
- Gemini 3.6 Flash vs GLM-5.3
- GPT-5.6 Luna vs GPT-6 Sol
- DeepSeek-V4-Pro vs Gemini 3.6 Flash
- GPT-5.6 Luna vs Grok 4.6
- Claude Opus 5 vs Gemini 3.6 Flash
- Claude Opus 5 vs GPT-5.6 Luna
- Gemini 3.6 Flash vs Grok 4.20
- GPT-5.6 Luna vs GPT-5.6 Sol
- Gemini 3.6 Flash vs Grok 4.3
- GPT-5.6 Luna vs GPT-5.6 Terra
Production evaluation
Choosing between Gemini 3.6 Flash and GPT-5.6 Luna?
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
