Models & Pricing

GPT-6.1 Sol vs Claude Opus 5.5

Choose two or three models. Copy the URL to share your selection.

ComparisonGPT-6.1 Sol
gpt-6.1-sol
Claude Opus 5.5
claude-opus-5-5
TypeChatChat
Best forNear-flagship agentic coding and computer use at a lower priceComplex reasoning, multi-step analysis and difficult coding
TokenRex price$2.00 in / $10.00 out per 1M tokens$4.00 in / $20.00 out per 1M tokens
Cached input / 1M tokens$0.10 per 1M tokens$0.20 per 1M tokens
Cache write / 1M tokens$2.50 per 1M tokens$5.00 per 1M tokens
Cached outputNot offered · standard output rate appliesNot offered · standard output rate applies
Web search$10.00 per 1K searches$10.00 per 1K searches
Market price$2.00 in / $10.00 out per 1M tokens$4.00 in / $20.00 out per 1M tokens
Context window (provider)1,050,000 tokens1,000,000 tokens
Input token limit (provider)Within the context windowWithin the context window
Maximum output128,000 tokens128,000 tokens
Knowledge cutoffApril 2026Jun 2026
Vendor input modalitiesText, ImageText, Image
Vendor output modalitiesTextText
TokenRex endpointsPOST /v1/chat/completionsPOST /v1/chat/completions · POST /v1/messages
TokenRex input—Text, Image/PDF content through the chat bridge
TokenRex output—Text
Benchmarks
Benchmark evidence5 source-linked results17 source-linked results
DeepSWE v1.1
75.2%

Self-reported by OpenAI in the GPT-6.1 Sol launch post (best of five reasoning efforts), September 2026.

OpenAI · Introducing GPT-6.1 Sol
—
Terminal-Bench Science 0.1
57%

Self-reported by OpenAI in the GPT-6.1 Sol launch post (max reasoning effort), September 2026.

OpenAI · Introducing GPT-6.1 Sol
—
OSWorld 2.0
71.4%

Self-reported by OpenAI in the GPT-6.1 Sol launch post (offline set, partial credit, best of five efforts), September 2026.

OpenAI · Introducing GPT-6.1 Sol
—
AutomationBench 1.0.6
36.1%

Self-reported by OpenAI in the GPT-6.1 Sol launch post (best of five efforts), September 2026.

OpenAI · Introducing GPT-6.1 Sol
—
GDP.pdf
32%

Self-reported by OpenAI in the GPT-6.1 Sol launch post (best of five efforts), September 2026.

OpenAI · Introducing GPT-6.1 Sol
—
FrontierCode v1.1 (Main)—
54.4%

Provider launch evaluation with adaptive thinking at max effort and production safeguards; not the default medium catalog configuration.

Anthropic · Claude Opus 5.5 launch evaluation
54.64%

Cognition FrontierCode 1.1; Claude Opus 5.5; medium effort; claude-code harness; Main subset (100 tasks). Published weighted rubric score (new_score × 100), not the all-or-nothing pass rate; solution-source violations score zero. Source field new_score=0.5464. Publisher evaluation, not a TokenRex measurement; provider effort configuration is not a guarantee of the API's fixed thinking budget.

Cognition · FrontierCode 1.1 original leaderboard
CursorBench 4.0—
57.8%

Provider launch evaluation with adaptive thinking at max effort and production safeguards; not the default medium catalog configuration.

Anthropic · Claude Opus 5.5 launch evaluation
56%

Row explicitly labeled 'Opus 5.5 Extra High' (xhigh) at 56.0%, $6.98/task. Kept distinct from the existing 57.8% entry, which is Anthropic's own self-reported max-effort figure from the launch page, and from CursorBench's own 'Opus 5.5 Max' row (57.8%, $13.43/task) — same number as Anthropic's but a separately sourced/priced data point.

Cursor · CursorBench 4.0 public leaderboard
AutomationBench—
40%

Provider launch evaluation with adaptive thinking at max effort and production safeguards; not the default medium catalog configuration.

Anthropic · Claude Opus 5.5 launch evaluation
Humanity’s Last Exam (with tools)—
67.7%

Provider launch evaluation with adaptive thinking at max effort and production safeguards; not the default medium catalog configuration.

Anthropic · Claude Opus 5.5 launch evaluation
Terminal-Bench-Science 0.1—
58.7%

Provider launch evaluation with adaptive thinking at max effort and production safeguards; not the default medium catalog configuration.

Anthropic · Claude Opus 5.5 launch evaluation
62%

Explicitly the xhigh effort configuration ('Claude Opus 5.5 (xhigh)'); AA also separately reports 59% at max effort for the same model on this benchmark — kept distinct and not merged. Independent AA harness, not Anthropic's own 58.7% (max effort) figure already on file.

Artificial Analysis · Terminal-Bench-Science 0.1 leaderboard launch post (LinkedIn)
OSWorld 2.1 (partial)—
81.8%

Provider launch evaluation with adaptive thinking at max effort and production safeguards; not the default medium catalog configuration.

Anthropic · Claude Opus 5.5 launch evaluation
Chartography (with tools)—
89%

Provider launch evaluation with adaptive thinking at max effort and production safeguards; not the default medium catalog configuration.

Anthropic · Claude Opus 5.5 launch evaluation
Terminal-Bench 4.0—
66.4%

Launch report explicitly states xhigh effort, standard error ±2.6 points; production safeguards. Not a medium or fast-mode measurement.

Anthropic · Claude Opus 5.5 launch evaluation
60%

Explicitly the Xhigh effort configuration ('Claude Opus 5.5 (Xhigh, Default Fallback)') on AA's independently-run Terminal-Bench 4.0 harness — matches the requested Opus 5.5 xhigh condition exactly, not max/fast/default. Distinct from Anthropic's own self-reported xhigh figure of 66.4% already on file (different methodology/harness) and from AA's narrative max-effort figure of 59.6% quoted in AA's launch article.

Artificial Analysis · Opus 5.5 (Xhigh) vs Opus 5 (High) comparison
Artificial Analysis Intelligence Index—
58index

Independent AA run, 'Claude Opus 5.5 (Max, Default Fallback)' configuration — AA's max-effort-with-fallback harness, not the catalog medium default. Not comparable to the Xhigh config (56) or High config (54) also reported by AA.

Artificial Analysis · Claude Opus 5.5 release page
Humanity's Last Exam—
61.4%

Independent AA evaluation, reported for the top-scoring (max-effort/fallback) AA configuration used for the Intelligence Index; AA states this is the new best score on this eval, ahead of Fable 5.1's prior 59.1%. Effort level for this specific sub-score is implied (Intelligence Index default config), not separately confirmed for every effort tier.

Artificial Analysis · 'Claude Opus 5.5 takes the top spot' article
SciCode—
66.9%

Independent AA evaluation under the Intelligence Index max-effort/fallback configuration; AA reports this surpasses Fable 5.1's prior best of 63.1%.

Artificial Analysis · 'Claude Opus 5.5 takes the top spot' article
AA-Briefcase v1.1 (Elo)—
1822Elo

AA's private frontier knowledge-work evaluation using the open-source Stirrup reference agent harness; max-effort/fallback configuration (the configuration AA headlines for Opus 5.5). Not the Xhigh-specific Briefcase score (1768) also published by AA.

Artificial Analysis · 'Claude Opus 5.5 takes the top spot' article
FrontierCode v1.1 (Extended)—
65.27%

Cognition FrontierCode 1.1; Claude Opus 5.5; medium effort; claude-code harness; Extended subset (150 tasks). Published weighted rubric score (new_score × 100), not the all-or-nothing pass rate; solution-source violations score zero. Source field new_score=0.6527. Publisher evaluation, not a TokenRex measurement; provider effort configuration is not a guarantee of the API's fixed thinking budget.

Cognition · FrontierCode 1.1 original leaderboard

No overall score, winner or cost-versus-score frontier is calculated without comparable, attributable benchmark evidence. Different test configurations appear separately. Vendor capabilities are distinct from TokenRex API support.

— means no published value or no matching capability. Provider token limits are not tested gateway guarantees; TokenRex media controls and response formats are listed separately.

GPT-6.1 Sol

Sources and verification

Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.

Research notes (2)
  • Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex.
  • All benchmark scores are self-reported by OpenAI at launch (29 September 2026); TokenRex has not re-run them.

Claude Opus 5.5

Sources and verification

Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.

Research notes (1)
  • Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex. Thinking-level variants use the same provider model; reasoning and answer tokens share the output budget.

Popular comparisons

Open the cost calculator →