Updated October 7, 2026. Rank says Gemini 4 Argon is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
Gemini 4 Argon has the higher public point estimate, 81.79 versus 66.32. Their conditional score ranges overlap. These ranges do not establish rank confidence. 2 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Code generation, repair, and software-engineering tasks
Gemini 4 Argon
Gemini 4 Argon has the higher public coding point estimate, 73 to 60.9, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
1K fresh input + 500 output tokens
Claude Haiku 5.5
Claude Haiku 5.5 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Claude Haiku 5.5
Claude Haiku 5.5 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Claude Haiku 5.5
Claude Haiku 5.5 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Gemini 4 Argon is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Prompts that approach the documented context limit
Not enough matched evidence
A complete context comparison is not sourced.
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
Like-for-like · BenchAlign v5.8
Gemini 4 Argon has the higher coding point estimate. Conditional score ranges do not establish rank confidence.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
1 category rests on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
| Category | Claude Haiku 5.5 | Gemini 4 Argon | Basis | Reading |
|---|---|---|---|---|
| Coding | 60.9Supported · #20/146 | 73.0Supported · #5/146 | Like-for-likeBenchAlign v5.8 lane · 1 vs 4 public rows | Gemini 4 Argon leads · intervals overlap |
| Agentic | 62.1Supported · #18/122 | 75.0Estimated · #4/122 | Directional onlyBenchAlign v5.8 lane · 2 vs 7 public rows | Directional only |
| Reasoning | 79.2Unranked · 2 rankable rows | 77.1Unranked · 3 rankable rows | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | Not ranked | 78.2Supported · #8/174 | Not comparableBenchAlign v5.8 lane · 1 vs 1 public rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
1K fresh input + 500 output tokens
Claude Haiku 5.5 has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Claude Haiku 5.5 has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Claude Haiku 5.5 has the lower modeled cost
Costs use the listed standard API rates.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Claude Haiku 5.5
Gemini 4 Argon
Not sourced
Google Gemini 4 Argon announcementClaude Haiku 5.5
claude-haiku-5-5
Anthropic Claude Haiku 5.5 model documentationGemini 4 Argon
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude Haiku 5.5
$0.01 per 1M cached input tokens
Claude API pricingGemini 4 Argon
$0.1 per 1M cached input tokens
Google Gemini 4 Argon announcementClaude Haiku 5.5
Gemini 4 Argon
Not sourced
Claude Haiku 5.5
Gemini 4 Argon
Not sourced
Claude Haiku 5.5
Generally Available · Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry, Claude Platform on AWS
Anthropic Claude Haiku 5.5 model documentationGemini 4 Argon
Limited Access · Fairwind Program
Google Gemini 4 Argon announcementClaude Haiku 5.5
Reasoning
Gemini 4 Argon
Reasoning
Claude Haiku 5.5
Proprietary
Gemini 4 Argon
Proprietary
Claude Haiku 5.5
Proprietary
Gemini 4 Argon
Proprietary
Claude Haiku 5.5
2026-10-07
Gemini 4 Argon
2026-09-30
Gemini 4 Argon has the higher public point estimate, 81.79 versus 66.32. Their conditional score ranges overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.
Gemini 4 Argon has the higher public coding point estimate, 73 to 60.9, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
Gemini 4 Argon scores higher for agentic tasks on the public lane, 75 to 62.1. Gemini 4 Argon is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
For the stated presets, chat costs $0.00035 on Claude Haiku 5.5 and $0.007 on Gemini 4 Argon; repository review costs $0.0065 and $0.13; the cache-heavy agent loop costs $0.009 and $0.16. Costs use the listed standard API rates.
A complete documented context-window comparison is not available.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 4.0
Gemini 4 Argon leads this result
HLE w/ tools
Not directly comparable
AutomationBench
Not directly comparable
Finance Agent v2
Not directly comparable
Agents' Last Exam
Not directly comparable
OSWorld 2.0
Not directly comparable
CWE-bench v1
Not directly comparable
Terminal-Bench-Science 0.1 (6x verifier timeout)
Not directly comparable
FrontierCode 1.1 Main
Not directly comparable
DeepSWE
Not directly comparable
FrontierSWE v2
Not directly comparable
Vibe Code Bench
Not directly comparable
PostTrainBench v1.1
Not directly comparable
Gray Swan IPI (15 attempts)
Not directly comparable
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Last updated October 7, 2026
