Models & Pricing

Claude Opus 5.5 vs Gemini 4 Argon

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ComparisonClaude Opus 5.5
claude-opus-5-5
Gemini 4 Argon
gemini-4-argon
TypeChatChat
Best forComplex reasoning, multi-step analysis and difficult codingLong-horizon coding, agents and million-token documents
TokenRex price$4.00 in / $20.00 out per 1M tokens$2.00 in / $10.00 out per 1M tokens
Cached input / 1M tokens$0.20 per 1M tokens$0.10 per 1M tokens
Cache write / 1M tokens$5.00 per 1M tokensNo extra fee
Cached outputNot offered · standard output rate appliesNot offered · standard output rate applies
Market price$4.00 in / $20.00 out per 1M tokens$2.00 in / $10.00 out per 1M tokens
Context window (provider)1,000,000 tokens1,048,576 tokens
Input token limit (provider)Within the context windowWithin the context window
Maximum output128,000 tokens65,536 tokens
Knowledge cutoffJun 2026March 2026
Vendor input modalitiesText, ImageText, Image, Audio, Video
Vendor output modalitiesTextText
TokenRex endpointsPOST /v1/chat/completions · POST /v1/messagesPOST /v1/chat/completions
TokenRex inputText, Image/PDF content through the chat bridge—
TokenRex outputText—
Benchmarks
Benchmark evidence17 source-linked results19 source-linked results
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
51.3%

Self-reported by Google in the Gemini 4 Argon model card (Score), October 2026.

Google DeepMind · Gemini 4 Argon model card
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
—
Vals Index—
68.9%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
Vals Finance Agent v2—
65.4%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
Harvey's Legal Agent Benchmark—
19.6%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
DeepSWE v1.1—
77.9%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
FrontierSWE v2—
55%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
Vibe Code Bench—
91.9%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
Terminal-bench 4.0—
57.4%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
PostTrainBench—
45.3%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
Terminal-Bench Science 0.1—
57.6%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
LABBench 2—
88.8%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
RiemannBench—
76%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
GraphWalks BFS (up to 128K)—
99.7%

Self-reported by Google in the Gemini 4 Argon model card (F1), October 2026.

Google DeepMind · Gemini 4 Argon model card
GraphWalks BFS (256K to 1M)—
84.2%

Self-reported by Google in the Gemini 4 Argon model card (F1), October 2026.

Google DeepMind · Gemini 4 Argon model card
Agent's Last Exam—
39.5%

Self-reported by Google in the Gemini 4 Argon model card (Pass rate), October 2026.

Google DeepMind · Gemini 4 Argon model card
OSWorld-2.0 (offline subset)—
69.2%

Self-reported by Google in the Gemini 4 Argon model card (Partial score), October 2026.

Google DeepMind · Gemini 4 Argon model card
Chartography—
71.6%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
LVBench—
91.7%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card
CWE-bench v1—
68%

Self-reported by Google in the Gemini 4 Argon model card, October 2026.

Google DeepMind · Gemini 4 Argon model card

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.

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.

Gemini 4 Argon

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. Standard requests allow up to 65,536 output tokens. Google's long-decode mode (output up to 1,048,576 tokens minus input) is enabled with background=true — the TokenRex chat endpoint accepts this parameter (verified live on 2026-10-14), but a full 1M-token output has not been exercised, so the default 65,536-token output limit is shown.
  • All benchmark scores are self-reported by Google in the official model card; TokenRex has not re-run them.

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