Updated October 28, 2026. Rank says Gemini 4 Carbon is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty. This is a same-family comparison, so migration details appear when the source data supports them.
Gemini 4 Carbon has the higher public point estimate, 88.42 versus 82.3. Their conditional score ranges overlap. These ranges do not establish rank confidence. 9 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 Carbon
Gemini 4 Carbon has the higher public coding point estimate, 82.2 to 74, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Gemini 4 Carbon is not ranked on the public lane for agentic, so no winner is named for agentic.
Prompts that approach the documented context limit
Not enough matched evidence
A complete context comparison is not sourced.
1K fresh input + 500 output tokens
No clear pick
A complete comparable API-rate estimate is not available for both models.
200K cached + 20K fresh input + 10K output tokens
No clear pick
A complete comparable API-rate estimate is not available for both models.
50K fresh input + 3K output tokens
No clear pick
A complete comparable API-rate estimate is not available for both models.
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 Carbon 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.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
AutomationBenchAgentic
Normalized gap 2.6Each 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 | Gemini 4 Argon | Gemini 4 Carbon | Basis | Reading |
|---|---|---|---|---|
| Coding | 74.0Supported · #6/156 | 82.2Supported · #3/156 | Like-for-likeBenchAlign v5.8 lane · 6 vs 1 public rows | Gemini 4 Carbon leads · intervals overlap |
| Knowledge | 82.6Estimated · #6/178 | 88.2Supported · #2/178 | Directional onlyBenchAlign v5.8 lane · 1 vs 0 public rows | Directional only |
| Agentic | 78.1Estimated · #4/134 | Not ranked | Not comparableBenchAlign v5.8 lane · 10 vs 4 public rows | Not comparable |
| Reasoning | 86.9#3/26 | 79.5Unranked · 2 rankable rows | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted 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 | 92.8Unranked · 2 rankable rows | Not ranked | Not comparableProvisional lane · 2 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
Modeled costs are equal
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Modeled costs are equal
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Modeled costs are equal
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.
Gemini 4 Argon
Gemini 4 Carbon
Not sourced
Google Gemini 4 Carbon launchGemini 4 Argon
gemini-4-argon
Google Gemini 4 Argon model documentationGemini 4 Carbon
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 4 Argon
$0.1 per 1M cached input tokens
Google Gemini API pricingGemini 4 Carbon
$0.1 per 1M cached input tokens
Google Gemini 4 Carbon launch postGemini 4 Argon
text, image, video, audio, pdf
Google Gemini 4 Argon model documentationGemini 4 Carbon
Not sourced
Gemini 4 Argon
Gemini 4 Carbon
Not sourced
Gemini 4 Argon
Generally Available · Gemini API, Google AI Studio
Google Gemini 4 Argon model documentationGemini 4 Carbon
Limited Access · Fairwind Program
Google Gemini 4 Carbon launchGemini 4 Argon
Reasoning
Gemini 4 Carbon
Reasoning
Gemini 4 Argon
Proprietary
Gemini 4 Carbon
Proprietary
Gemini 4 Argon
Proprietary
Gemini 4 Carbon
Proprietary
Gemini 4 Argon
2026-09-30
Gemini 4 Carbon
2026-10-28
Gemini 4 Carbon has the higher public point estimate, 88.42 versus 82.3. 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 Carbon has the higher public coding point estimate, 82.2 to 74, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
Gemini 4 Carbon is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
For the stated presets, chat costs $0.007 on Gemini 4 Argon and $0.007 on Gemini 4 Carbon; repository review costs $0.13 and $0.13; the cache-heavy agent loop costs $0.16 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.
AutomationBench
Gemini 4 Carbon leads this result
Finance Agent v2
Not directly comparable
Terminal-Bench 4.0
Not directly comparable
Agents' Last Exam
Not directly comparable
OSWorld 2.0
Not directly comparable
CWE-bench v1
Shared sourceGemini 4 Carbon leads this result
Terminal-Bench-Science 0.1 (6x verifier timeout)
Not directly comparable
MazeBench
Not directly comparable
OSWorld 2.1 Offline
Shared sourceGemini 4 Carbon leads this result
ExploitGym
Shared sourceGemini 4 Carbon leads this result
DeepSWE
Not directly comparable
FrontierSWE v2
Shared sourceGemini 4 Carbon leads this result
Vibe Code Bench
Not directly comparable
PostTrainBench v1.1
Not directly comparable
Bug Hunt Bench
Not directly comparable
FrontierCode 2.0
Not directly comparable
STEMBench
Not directly comparable
Graphwalks BFS 128K
Not directly comparable
GraphWalks BFS 256K–1M
Gemini 4 Carbon leads this result
ARC-AGI-1
Not directly comparable
ARC-AGI-2
Not directly comparable
ARC-AGI-3
Not directly comparable
ARC-AGI-3 Provider Adapter
Not directly comparable
ExtractBench Pro
Not directly comparable
Chartography (no tools)
Gemini 4 Carbon leads this result
LVBench
Not directly comparable
Blueprint-Bench 2
Shared sourceGemini 4 Carbon leads this result
LABBench2
Not directly comparable
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Last updated October 28, 2026
