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GPT-6.1 Sol

Last verified October 15, 2026 · OpenAI pricing ↗

$2.00/1M input · $10.00/1M output · 1.1M context · OpenAI

GPT-6.1 Sol costs $2.00 per 1M input tokens and $10.00 per 1M output tokens from OpenAI, with a 1.1M-token context window. A typical chat reply (1,500 tokens in, 400 out) costs $0.0070, or $70.00 per 10,000 requests. On that workload it is cheaper than 43 of the 174 other buyable models tracked here.

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What GPT-6.1 Sol Costs Per Request

At $2.00 per 1M input and $10.00 per 1M output tokens, before caching or batch discounts.

WorkloadInput / output tokensPer requestPer 10,000 requests
Chat reply1,500 / 400$0.0070$70.00
RAG answer over retrieved docs8,000 / 600$0.022$220.00
Coding-agent step30,000 / 2,000$0.080$800.00

GPT-6.1 Sol vs Similarly Priced Models

Nearest buyable models by price, with the RAG answer above (8,000 in / 600 out) priced on each.

ModelInput /1MOutput /1MContextRAG answer
GPT-6.1 Sol OpenAI$2.00$10.001.1M$0.022
GPT-6 Sol OpenAI$2.00$10.001.1M$0.022
Claude Sonnet 5.5 Anthropic$2.00$10.001.0M$0.022
Gemini 4 Carbon Google$2.00$10.001.0M$0.022

Alternatives to GPT-6.1 Sol

Pricing Details

OpenAI12H CACHE (2026-10-20): Responses API prompt_cache_options.ttl "12h" bills cache writes at 2.5x input, $5.00 per 1M (the default "30m" stays 1.25x); reads unchanged. Launched September 29, 2026 at DevDay, one week after GPT-6 Sol. Card: $2.00 input, $0.10 cached input, $2.50 cache write, $10.00 output. The ONLY change from GPT-6 Sol is cached input, $0.20 to $0.10 (cache discount 90% to 95% off); every other multiplier is unchanged so the halving carries through all tiers. Batch and Flex 50%: $1.00 / $0.05 / $1.25 / $5.00. Fast 2x: $4.00 / $0.20 / $5.00 / $20.00. LONG CONTEXT: over 272,000 input tokens the whole request bills $4.00 / $0.20 / $5.00 / $15.00 (Batch/Flex $2.00 / $0.10 / $2.50 / $7.50, Fast $8.00 / $0.40 / $10.00 / $30.00). ULTRAFAST (service_tier 'ultrafast', live October 8, 2026 in the API, Codex and ChatGPT Work, all API users): exactly 6x Standard on every line, $12.00 input / $0.60 cached / $15.00 cache write / $60.00 output; over 272K input $24.00 / $1.20 / $30.00 / $90.00. That is 1.2x GPT-6 Astra Standard on input, cache write and output (OpenAI's own '1.2x the cost of Astra'). OpenAI claims 'up to 8x faster' than Standard and publishes no tokens/sec. Artificial Analysis (max effort, read 2026-10-15): Ultrafast 318.2 t/s and $4.35 per index task, Fast 98.2 t/s / $1.45, Flex 74.5 t/s / $0.36, Standard 48.7 t/s / $0.72, so Ultrafast is about 6.5x Standard's speed for 6x the price. Own TPM limits: Build 1M, Launch 4M, Grow 40M. US and EU residency supported. Codex: Pro $500 and eligible Enterprise/Edu only, included usage at 8x, credits at 6x. Astra Ultrafast is 6x Astra's own Standard ($60/$6/$75/$300), US only. Regional processing and FedRAMP +10%; Fast unavailable with EU residency. Context 1,050,000 (922,000 max input + 128,000 max output). Knowledge cutoff April 30, 2026. Reasoning effort low / medium (default) / high / xhigh / max; 'none' and 'minimal' are NOT supported, unlike GPT-6 Sol and Luna, so migrations setting none must switch to low. Tool calling Responses API only. Same input, cache write and output as Claude Sonnet 5.5 ($2 / $2.50 / $10); cache read matches Sonnet 5.5's $0.10 (corrected 2026-10-13), but Sonnet 5.5 has no long-context surcharge. Artificial Analysis Intelligence Index v4.3.2 (read 2026-09-30): max 52 at $0.72 per task (67M output tokens across the index), medium 48 at $0.21 per task (15M); GPT-6 Sol max 48 at $1.05 (77M), Astra max 53 at $3.26, Sonnet 5.5 max 56 at $7.60, Opus 5.5 max 58 at $5.98. Vals Index (max): 61.15% at $3.237 per test, rank 7 of 30 (GPT-6 Sol 57.54% at $7.581). OpenAI-reported via press (launch post not directly readable): DeepSWE v1.1 about level with Astra at about 1/5 the cost per task; OSWorld 2.0 within 2.1 points of Astra at about 1/7; AutomationBench 2.2 points above Opus 5.5 at about 1/3 the cost (Vellum: 35.4 at medium; Sonnet 5.5 scores 44.7); Terminal-Bench Science 0.1 at max $5.47 per task vs Opus 5.5 $23.21 and Astra $23.80. AVAILABILITY: ChatGPT Work and Codex (Codex default model); Azure Foundry GA 2026-09-29 at list in Global, +10% US Data Zone, +20% EU and APAC ($2.40 / $0.12 / $3.00 / $12.00); Amazon Bedrock GA 2026-09-29, AWS prints no rate, LiteLLM carries Global at list and US in-region at 1.1x. Model ID: gpt-6.1-sol.
Input / 1M tokens
$2
Output / 1M tokens
$10
Context Window
1.1M
Max Output
128K

Price History

No price change recorded since 2026-10-15, when this site started tracking this model; it launched on 2026-09-29.

Frequently Asked Questions

Common questions about GPT-6.1 Sol pricing and usage

How much does GPT-6.1 Sol cost?
GPT-6.1 Sol costs $2 per 1 million input tokens and $10 per 1 million output tokens. This pricing is set by OpenAI.
What tokenizer does GPT-6.1 Sol use?
GPT-6.1 Sol uses the o200k_base tokenizer. This is OpenAI's latest tokenizer, optimized for efficiency with a vocabulary of ~200,000 tokens.
What is GPT-6.1 Sol's context window?
GPT-6.1 Sol supports a context window of 1.1M tokens (1,050,000 tokens). The maximum output length is 128K tokens.
How does GPT-6.1 Sol compare to other models?
On an 8,000-token-in, 600-token-out RAG answer, GPT-6.1 Sol costs $0.022 per request. The nearest-priced alternatives cost: GPT-6 Sol (OpenAI) $0.022, Claude Sonnet 5.5 (Anthropic) $0.022, Gemini 4 Carbon (Google) $0.022. The table above lists their full rates and context windows.
How do I count tokens for GPT-6.1 Sol?
Use the token counter at the top of this page or visit the homepage calculator. Paste your text and it will show the exact token count and cost for GPT-6.1 Sol using the o200k_base tokenizer.

Read More About GPT-6.1 Sol