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GPT-6 Sol vs Claude Sonnet 5.5: Coding Agents & API Economics
GPT-6 Sol and Claude Sonnet 5.5 share a $2/$10 token price but differ sharply in cost per task; GPT-6.1 Sol keeps that price with $0.10 cached input. Compare official pricing and limits, Artificial Analysis results by effort level, coding claims, and which to pick.
Same Token Price, Different Cost per Task
OpenAI's GPT-6 Sol and Anthropic's Claude Sonnet 5.5 (released September 28, 2026) are the mid-tier models of their vendors' current lineups, and they list at the same $2 per million input tokens and $10 per million output tokens. Cached input costs $0.20 per million on GPT-6 Sol and $0.10 on Sonnet 5.5, after Anthropic halved Sonnet 5.5's cache reads on October 7, 2026. What you pay per finished task is a different matter. It depends on how many tokens each model spends to finish a task, on the reasoning effort you choose, and on how long your prompts are.
This guide keeps two kinds of evidence apart. Prices, limits and billing rules come from OpenAI's and Anthropic's own documentation. Benchmark results are labelled with who measured them: each vendor's own launch material, or the independent evaluator Artificial Analysis, which ran both models through the same test suite. The verdict at the end is ToolColumn's editorial judgment based on that evidence.
Official Prices and Limits
Rate or limit | OpenAI GPT-6 Sol | Anthropic Claude Sonnet 5.5 |
|---|---|---|
Input (per 1M tokens) | $2.00 | $2.00 |
Output (per 1M tokens) | $10.00 | $10.00 |
Cached input read (per 1M tokens) | $0.20 (GPT-6.1 Sol: $0.10) | $0.10 (from October 7, 2026) |
Cache write (per 1M tokens) | $2.50 | $2.50 (5-minute) / $4.00 (1-hour) |
Prompts over 272K input tokens | 2x input and cache rates, 1.5x output, for the full request | Standard rates across the full 1M window |
Batch processing | 50% off ($1.00 / $5.00); Flex is also 50% off | 50% off ($1.00 / $5.00) |
Faster processing | Fast mode at 2x the applicable rates | Not offered on Sonnet 5.5 |
Context window | 1,050,000 tokens | 1,000,000 tokens |
Maximum output | 128,000 tokens | 128,000 tokens |
Reasoning effort levels | none, low, medium (default), high, xhigh, max | low, medium, high, xhigh, max; high is the API default, medium in the Claude apps and Claude Code |
OpenAI released GPT-6.1 Sol on 2026-09-29 as an upgrade to GPT-6 Sol. It keeps the $2/$10 list price, the $2.50 cache write and the long-prompt multipliers, but bills cached input at $0.10 per million, half of GPT-6 Sol and the same as Sonnet 5.5 since Anthropic's October 7, 2026 cut. OpenAI reports gains over GPT-6 Sol, including 4.8 points on AutomationBench at medium effort and 6.4 points above GPT-6 Sol's best DeepSWE v1.1 result, but the independent measurements below cover GPT-6 Sol only. Retest GPT-6.1 Sol before applying them to it.
Two rules decide most bills before any benchmark does. First, long prompts: GPT-6 Sol reprices any request with more than 272K input tokens, while Sonnet 5.5 keeps standard rates across its 1M window. A single uncached request with 400,000 input tokens and 10,000 output tokens costs about $1.75 on Sol ($4 and $15 per million after the long-prompt multipliers) and about $0.90 on Sonnet 5.5. Second, tokenizers: Anthropic says Claude 4.7 and later models use a newer tokenizer that produces about 30% more tokens for the same text than its previous tokenizer, and OpenAI counts tokens with its own tokenizer. Identical per-token prices therefore do not guarantee identical bills for the same text.
Independent Head-to-Head: Artificial Analysis
Artificial Analysis is the only source in this guide that measured both models with the same method. Its comparison page sets Claude Sonnet 5.5 at max effort (adaptive reasoning, default fallback) against GPT-6 Sol at max effort. These are third-party measurements, not vendor figures, and they describe max effort only.
Artificial Analysis metric (max effort) | Claude Sonnet 5.5 | GPT-6 Sol |
|---|---|---|
Intelligence Index (10 evaluations) | 56 | 48 |
Cost per task | $7.60 | $1.05 |
Cost to run the Intelligence Index | $8,977 | $1,546 |
Output tokens per task | 193k | 31k |
Reasoning tokens per task | 142k | 21k |
Output tokens to run the Intelligence Index | 411M | 77M |
Output speed | 139 tokens/s | 85 tokens/s |
Time per task | about 854 s | about 366 s |
GDPval-AA v2.1 (knowledge work, Elo) | 1844 | 1487 |
AA-Briefcase v1.1 (knowledge work, Elo) | 1811 | 1483 |
Terminal-Bench 4.0 (agentic terminal work) | 64% | 44% |
AutomationBench-AA (SaaS workflows) | 71% | 62% |
At max effort Sonnet 5.5 scores higher on the index and on every benchmark in this table, and it streams output faster, but it writes about six times as many output tokens per task. That makes it about seven times as expensive per task, and it takes longer to finish each task despite the faster stream. In its Sonnet 5.5 launch analysis, Artificial Analysis says Sonnet 5.5 at max costs about 50% more per task than Sonnet 5 and sits off its Intelligence versus Cost per Task Pareto frontier.
Max effort is not how most people run Sonnet 5.5, so effort matters more than the headline gap. Artificial Analysis also lists every Sonnet 5.5 effort level and every GPT-6 Sol effort level:
Effort | Sonnet 5.5 Intelligence Index | Sonnet 5.5 cost per task | GPT-6 Sol Intelligence Index | GPT-6 Sol cost per task |
|---|---|---|---|---|
Low | 36 | $0.41 | 34 | $0.13 |
Medium | 41 | $0.59 | 40 | $0.25 |
High | 47 | $1.08 | 43 | $0.38 |
Xhigh | 52 | $2.74 | 44 | $0.52 |
Max | 56 | $7.60 | 48 | $1.05 |
At each effort level Sonnet 5.5 scores higher and costs more per task. Matched by score instead, GPT-6 Sol is as cheap or cheaper: Sol at high (43, $0.38) outscores Sonnet 5.5 at medium (41, $0.59), and Sol at max (48, $1.05) edges Sonnet 5.5 at high (47, $1.08) for about the same cost. Only Sonnet 5.5 at xhigh or max scores above Sol's best result on this index.
Coding: Vendor Numbers Conflict
Neither vendor's table settles coding. In Anthropic's Sonnet 5.5 launch table, FrontierCode 1.1 (Main), which checks whether a code change could merge without human edits, has Sonnet 5.5 at 52.1% at Xhigh effort and 46.2% at Max, against 49.3% for GPT-6 Sol. Anthropic's footnote explains that at Max effort Sonnet 5.5 more often ran Claude Code's code-review skill across many subagents, which in some cases led to a timeout or to extra edits beyond the task's scope, and the benchmark penalizes those. Anthropic also says Sonnet 5.5 at High effort, the Claude Platform default, matches GPT-6 Sol's best FrontierCode score for about a fifth of the cost per task. OpenAI, for its part, says GPT-6 Sol matches Claude Fable 5.1 at xhigh on FrontierCode at much lower cost.
Anthropic reports Sonnet 5.5 at 70.6% on Terminal-Bench 4.0 and lists no GPT-6 Sol figure there. Artificial Analysis's own run measured 64% for Sonnet 5.5 and 44% for GPT-6 Sol at max effort. Anthropic also cautions that GPT-6 Sol's third-party knowledge-work scores may predate an OpenAI fix to Sol's image understanding; Artificial Analysis does not expect major changes. Treat all of these as signals to test, not a ranking: run both models on your own repository at the effort level you would actually ship.
Where Each Model Runs
GPT-6 Sol is available in the OpenAI API, and OpenAI made it and GPT-6 Luna available in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users. Since 2026-10-07 ChatGPT Chat itself runs GPT-6 Sol on Plus and higher plans and GPT-6 Luna on Free and Go, so Free and Go users get Luna, not Sol. Sonnet 5.5 is available on the Claude API and is what the sonnet alias selects in Claude Code on the Anthropic API (Claude Code 2.1.284 or later). Claude Code is not part of the Claude Free plan. Claude's pricing page lists Sonnet for Free users without naming a version, so do not assume Free includes Sonnet 5.5.
Verdict: Which to Choose
This verdict is ToolColumn's editorial judgment, drawn from the official prices and billing rules and from Artificial Analysis's measurements above.
Pick GPT-6 Sol when cost per task matters, or when you already build on OpenAI and Codex. Per-token prices are identical, but in Artificial Analysis's runs Sol reached each score up to its ceiling for the same or less money per task, and at max effort it cost about a seventh as much per task as Sonnet 5.5.
Pick Claude Sonnet 5.5 when you need the stronger answer, when single prompts exceed 272K input tokens, or when your team works in Claude Code. Only Sonnet 5.5 at xhigh or max scored above Sol's best result, it streams output faster, and it bills long prompts at standard rates, which makes it cheaper by rule above 272K input tokens.
Whichever you run, set the effort level on purpose. On Artificial Analysis's index, Sonnet 5.5's cost per task ranges from $0.41 at low effort to $7.60 at max, and Sol's from $0.13 to $1.05. Effort moves the bill far more than the list price, which is the same for both.
Evidence boundary
Official sources
Editorial guidance grounded in official product sources.
- OpenAI Introduces GPT-6 Sol and Luna | Release Notes
- OpenAI API Pricing: Standard, Fast, and Caching
- ChatGPT Work and Codex Pricing | OpenAI
- Claude API Pricing | Anthropic Platform
- Claude Code Model Configuration | Anthropic
- OpenAI API model page: GPT-6 Sol
- Introducing Claude Sonnet 5.5
- What's new in Claude Sonnet 5.5
- Introducing GPT-6 Sol and Luna | OpenAI
- Claude models overview
- Claude plans and pricing
- Introducing GPT-6.1 Sol
- Introducing Claude Haiku 5.5
FAQ
Common questions
Which is cheaper, GPT-6 Sol or Claude Sonnet 5.5?
Per token, neither: both list at $2.00 input and $10.00 output per 1M tokens, while cached reads cost $0.20 on GPT-6 Sol and $0.10 on Sonnet 5.5 and GPT-6.1 Sol. Per task, GPT-6 Sol usually is. In Artificial Analysis's runs at max effort, Sol cost about $1.05 per task against $7.60 for Sonnet 5.5, which wrote about six times as many output tokens; at high effort Sonnet 5.5 cost $1.08 per task. For single prompts over 272K input tokens Sonnet 5.5 is cheaper by rule, because Sol bills those requests at 2x input and 1.5x output.
How do context windows and maximum output limits compare?
Both models offer massive context windows: GPT-6 Sol publishes 1,050,000 tokens while Claude Sonnet 5.5 publishes 1,000,000 tokens. Both models maintain a 128,000-token maximum output generation ceiling.
Which model is better for coding?
Neither is a settled winner. Anthropic's launch table has Sonnet 5.5 at 52.1% on FrontierCode 1.1 at Xhigh effort (46.2% at Max) against 49.3% for GPT-6 Sol, while OpenAI says Sol matches Claude Fable 5.1 at xhigh on FrontierCode at much lower cost. Artificial Analysis measured Sonnet 5.5 at 64% and Sol at 44% on Terminal-Bench 4.0, both at max effort. Test both on your own repository at the effort level you would ship.
Do both models support prompt caching for long repositories?
Yes. GPT-6 Sol bills cached reads at $0.20 per 1M tokens, a 90% discount, while GPT-6.1 Sol and Sonnet 5.5 bill $0.10, a 95% discount. Both Sol models bill cache writes at $2.50 per 1M; Sonnet 5.5 bills $2.50 per 1M for five-minute writes and $4.00 per 1M for one-hour writes.
How does reasoning effort change cost on each model?
GPT-6 Sol offers none, low, medium (the default), high, xhigh and max. Sonnet 5.5 uses adaptive thinking with low, medium, high, xhigh and max; high is the default on the Claude API, and medium in the Claude apps and Claude Code. In Artificial Analysis's runs, Sonnet 5.5's cost per task rose from $0.41 at low effort to $7.60 at max, and Sol's from $0.13 to $1.05, so effort moves the bill far more than the identical list price.
Can I use GPT-6 Sol or Sonnet 5.5 on a ChatGPT or Claude plan?
GPT-6 Sol is in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users, and since 2026-10-07 it is also the Chat model on Plus, Pro, Business and Enterprise; Free and Go users get GPT-6 Luna, not Sol. Claude Code is not part of the Claude Free plan. Claude's pricing page lists Sonnet on Free without naming a version, so do not assume Free includes Sonnet 5.5.
Next steps
Take the next evaluation step
Use these next pages to evaluate the strongest candidates, supporting profiles, or follow-up guides against the selection criteria.