text model comparison
Gemini 4 Carbon vs GPT-6 Sol
Gemini 4 Carbon and GPT-6 Sol are both current text models, from Google and OpenAI. Both cost $2 per 1M input tokens. On Arena Text, Gemini 4 Carbon scores 1526 Elo and GPT-6 Sol 1457 Elo (Arena, measured November 9, 2026). Both accept about 1.05M tokens of context (1,048,576 and 1,050,000).
- Higher Arena Text
- Gemini 4 Carbon1526 Elo against 1457 Elo
- Longer context window
- GPT-6 Sol1.05M tokens against 1.05M tokens
- Newer release
- Gemini 4 CarbonOct 2026 against Sep 2026
Data verified November 11, 2026 · Dataset 2026-11-11
Side by side
Gemini 4 Carbon and GPT-6 Sol, 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 4 Carbon | GPT-6 Sol |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $2 | $2 |
| Price per 1M output tokens | $10 | $10 |
| Independent benchmarks | ||
| Arena Text | 1526 Elo (#1 of 48) (better) | 1457 Elo (#26 of 48) |
| Arena WebDev | 1768 Elo (#4 of 44) (better) | 1673 Elo (#10 of 44) |
| GPQA Diamond | 96.5% (#1 of 40) (better) | 94.3% (#8 of 40) |
| FrontierMath Tiers 1-3 (v2) | 90.5% (#6 of 39) (better) | 89.8% (#7 of 39) |
| SimpleQA Verified | 77.7% (#2 of 36) (better) | 60.7% (#14 of 36) |
| Specs | ||
| Provider | OpenAI | |
| Release date | October 28, 2026 | September 22, 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 4 Carbon and GPT-6 Sol land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
On Arena Text, Gemini 4 Carbon ranks #1 and GPT-6 Sol #26 of 48 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
Gemini 4 Carbon:#1of 48
1,526 Elo · ahead of 100%
GPT-6 Sol:#26of 48
1,457 Elo · ahead of 47%
Arena WebDev
Gemini 4 Carbon:#4of 44
1,768 Elo · ahead of 93%
GPT-6 Sol:#10of 44
1,673 Elo · ahead of 79%
GPQA Diamond
Gemini 4 Carbon:#1of 40
96.5% · ahead of 100%
GPT-6 Sol:#8of 40
94.3% · ahead of 79%
FrontierMath Tiers 1-3 (v2)
Gemini 4 Carbon:#6of 39
90.5% · ahead of 87%
GPT-6 Sol:#7of 39
89.8% · ahead of 84%
SimpleQA Verified
Gemini 4 Carbon:#2of 36
77.7% · ahead of 97%
GPT-6 Sol:#14of 36
60.7% · ahead of 63%
Price and context
Price per 1M input tokens
Gemini 4 Carbon:#33of 57
$2 · cheaper than 23%
GPT-6 Sol:#33of 57
$2 · cheaper than 23%
Price per 1M output tokens
Gemini 4 Carbon:#38of 57
$10 · cheaper than 25%
GPT-6 Sol:#38of 57
$10 · cheaper than 25%
Context window
Gemini 4 Carbon:#12of 67
1.05M tokens · longer than 64%
GPT-6 Sol:#1of 67
1.05M tokens · longer than 85%
Quality against price
Gemini 4 Carbon scores 1,526 at $4; GPT-6 Sol scores 1,457 at $4 (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 Carbon | $4 | 1,526 | |
| Gemini 4 Argon | $4 | 1,522 | |
| Muse Wonder | Meta | $8 | 1,511 |
| Claude Opus 5.5 | Anthropic | $8 | 1,506 |
| Gemini 3.8 Flash | $1.50 | 1,497 | |
| Muse Spark 1.3 | Meta | $2 | 1,496 |
| Kimi K3 | Moonshot Kimi | $6 | 1,487 |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,484 |
| Gemini 3.6 Flash | $3 | 1,483 | |
| GLM-5.3 | Z.ai | $2.15 | 1,483 |
| GPT-6.1 Sol | OpenAI | $4 | 1,482 |
| GPT-5.5 | OpenAI | $11 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,475 |
| GPT-6 Astra | OpenAI | $20 | 1,474 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,474 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,468 |
| Grok 4.5 | xAI | $3 | 1,466 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,464 |
| GPT-6 Sol | OpenAI | $4 | 1,457 |
| Grok 4.6 | xAI | $3 | 1,456 |
| Gemini 3.5 Flash-Lite | $0.85 | 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 |
| Grok 4.7 | xAI | $3 | 1,442 |
| GPT-6 Luna | OpenAI | $0.20 | 1,441 |
| Mistral Large 4 | Mistral AI | $1.05 | 1,423 |
| Claude Haiku 5.5 | Anthropic | $0.20 | 1,422 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Inkling 2 Small | Thinking Machines Lab | $0.47 | 1,412 |
| Solar Pro 4 | Upstage | $0.52 | 1,387 |
| 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
At each provider's listed rates.
10M input and 2M output tokens
The same price
- Gemini 4 Carbon
- $40
- GPT-6 Sol
- $40
The same, with 9M of the input tokens cached
GPT-6 Sol costs 1.0× as much
- Gemini 4 Carbon
- $22.90
- GPT-6 Sol
- $23.80
| Workload or rate | Gemini 4 Carbon | GPT-6 Sol |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $40 | $40 |
| The same, with 9M of the input tokens cached | $22.90 (better) | $23.80 |
| The same, through the batch API | $20 | Not listed |
| Other listed rates | ||
| 1M input tokens, cached | $0.10 (better) | $0.20 |
| 1M input tokens, batch | $1 | Not listed |
| 1M output tokens, batch | $5 | Not listed |
| 1M input tokens, prompts over 272K tokens | Not listed | $4 |
| 1M output tokens, prompts over 272K tokens | Not listed | $15 |
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 4 Carbon
Where it leads
- Higher Arena Text score, 1526 Elo vs 1457 Elo
- Higher Arena WebDev score, 1768 Elo vs 1673 Elo
- Higher GPQA Diamond score, 96.5% vs 94.3%
- Higher FrontierMath Tiers 1-3 (v2) score, 90.5% vs 89.8%
- Higher SimpleQA Verified score, 77.7% vs 60.7%
- Accepts audio and video input
- Cheaper cached input, $0.10 vs $0.20 per 1M tokens
- Batch pricing, $1 input and $5 output per 1M tokens
Best for
- Finding, validating and patching vulnerabilities
- Long-horizon engineering and research over very long inputs
Watch out for
- Generally available in the Gemini API since November 10, 2026, on the paid tier only (there is no free tier), after two weeks open only to cyber defenders in its Fairwind Program
- The $2 and $10 rates are introductory and end on November 30, 2026: from December 1, input, output and cached input double, to $4, $20 and $0.20 per 1M tokens (Batch from $1 and $5 to $2 and $10)
- In Google's own table it trails GPT-6 Astra on FrontierSWE 2 (61.2% against 65.5%) and Claude Opus 5.5 on OSWorld-2.1 (81.5% against 87.2%)
- A request returns at most 65,536 output tokens by default; longer outputs, up to 1,048,576 tokens, need Google long-decode mode
GPT-6 Sol
Where it leads
- Longer responses, up to 128,000 vs 65,536 output tokens
Best for
- General production work that does not need Astra's capability or price
- Workloads kept under the 272,000-token threshold
Watch out for
- Prompts over 272,000 input tokens are rebilled for the whole request at $4 input and $15 output, so crossing the line roughly doubles input cost
- GPT-6.1 Sol lists the same base rates with half the cached-input price, so there is little reason to pick this one for a cache-heavy workload
From benchmark to production
Building on Gemini 4 Carbon or GPT-6 Sol?
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 4 Carbon vs GPT-6 Sol FAQ
Which is cheaper, Gemini 4 Carbon or GPT-6 Sol?
Both cost $2 per 1M input tokens. For 10M input and 2M output tokens, Gemini 4 Carbon costs $40 and GPT-6 Sol $40 at standard rates.
Which is cheaper with prompt caching, Gemini 4 Carbon or GPT-6 Sol?
Gemini 4 Carbon charges $0.10 per 1M cached input tokens, 95% below its standard input rate, and GPT-6 Sol $0.20, 90% below. With 9M of 10M input tokens cached and 2M output tokens, Gemini 4 Carbon costs $22.90 and GPT-6 Sol $23.80.
Which scores higher on independent benchmarks, Gemini 4 Carbon or GPT-6 Sol?
Gemini 4 Carbon leads on Arena Text, 1526 Elo to 1457 Elo; Gemini 4 Carbon leads on Arena WebDev, 1768 Elo to 1673 Elo; Gemini 4 Carbon leads on GPQA Diamond, 96.5% to 94.3%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, Gemini 4 Carbon or GPT-6 Sol?
Both accept about 1.05M tokens of context (1,048,576 and 1,050,000). GPT-6 Sol returns up to 128,000 tokens per response, Gemini 4 Carbon 65,536.
How do Gemini 4 Carbon and GPT-6 Sol differ in features?
Gemini 4 Carbon takes text, image, audio and video input; GPT-6 Sol takes text and image.
Further reading
More on Gemini 4 Carbon and GPT-6 Sol
Articles on Gemini 4 Carbon and GPT-6 Sol
- Claude Fable 5.2 vs Opus 5.5, GPT-6 Astra and Mythos 5.2November 10, 2026
- Gemini 4 Carbon: Benchmarks, Price and Who Gets It FirstOctober 29, 2026
- Gemini 4 Pro Leaks: What's Verified and What's HypeOctober 1, 2026
- GPT-6 Sol vs Claude Opus 5.5, Plus Luna: Best Value per TaskSeptember 24, 2026
- GPT-6 Sol and Luna: Half the Price, and Where Each One FitsSeptember 23, 2026
Related comparisons
- Claude Opus 5.5 vs Gemini 4 Carbon
- Gemini 4 Argon vs GPT-6 Sol
- Claude Sonnet 5.5 vs Gemini 4 Carbon
- GPT-6.1 Sol vs GPT-6 Sol
- Claude Sonnet 5 vs Gemini 4 Carbon
- Claude Sonnet 5.5 vs GPT-6 Sol
- Gemini 4 Argon vs Gemini 4 Carbon
- Claude Opus 5.5 vs GPT-6 Sol
- Gemini 4 Carbon vs GPT-6.1 Sol
- Claude Sonnet 5 vs GPT-6 Sol
- Gemini 4 Carbon vs GPT-6 Astra
- DeepSeek-V4.1-Flash vs GPT-6 Sol
Production evaluation
Choosing between Gemini 4 Carbon and GPT-6 Sol?
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
