Chat turn cost
1K fresh input + 500 output tokens
Step 5 Preview
Step 5 Preview has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
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.
Gemini 4 Carbon has the higher public point estimate, 88.42 versus 56.2. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. 1 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.
1K fresh input + 500 output tokens
Step 5 Preview
Step 5 Preview 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
Step 5 Preview
Step 5 Preview has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Step 5 Preview
Step 5 Preview has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Step 5 Preview is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
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.
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.
Directional only · 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 9.9Each 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 Carbon | Step 5 Preview | Basis | Reading |
|---|---|---|---|---|
| Knowledge | 88.2Supported · #2/178 | 59.8Supported · #45/178 | Like-for-likeBenchAlign v5.8 lane · 0 vs 2 public rows | Gemini 4 Carbon leads |
| Coding | 82.2Supported · #3/156 | 48.6Estimated · #49/156 | Directional onlyBenchAlign v5.8 lane · 1 vs 6 public rows | Directional only |
| Agentic | Not ranked | 54.7Estimated · #41/134 | Not comparableBenchAlign v5.8 lane · 4 vs 13 public rows | Not comparable |
| Reasoning | 79.5Unranked · 2 rankable rows | 82.5Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | 73.4#32/58 | Not comparableProvisional lane · 0 vs 2 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 | 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
Step 5 Preview has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Step 5 Preview has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Step 5 Preview 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.
Gemini 4 Carbon
Not sourced
Google Gemini 4 Carbon launchStep 5 Preview
Gemini 4 Carbon
Not sourced
Step 5 Preview
step-5-preview
StepFun Step 5 Preview model documentationA missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 4 Carbon
$0.1 per 1M cached input tokens
Google Gemini 4 Carbon launch postStep 5 Preview
$0.05 per 1M cached input tokens
StepFun pricing and rate limitsGemini 4 Carbon
Not sourced
Step 5 Preview
text, image, video
StepFun Step 5 Preview model documentationGemini 4 Carbon
Not sourced
Step 5 Preview
Gemini 4 Carbon
Limited Access · Fairwind Program
Google Gemini 4 Carbon launchStep 5 Preview
Preview · StepFun Open Platform API, Hugging Face, self-hosted inference
StepFun Step 5 Preview model documentationGemini 4 Carbon
Reasoning
Step 5 Preview
Reasoning
Gemini 4 Carbon
Proprietary
Step 5 Preview
Open Weight
Gemini 4 Carbon
Proprietary
Step 5 Preview
Open Weight
Gemini 4 Carbon
2026-10-28
Step 5 Preview
2026-09-20
Gemini 4 Carbon has the higher public point estimate, 88.42 versus 56.2. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.
Gemini 4 Carbon scores higher for coding on the public lane, 82.2 to 48.6. Step 5 Preview is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
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 Carbon and $0.00235 on Step 5 Preview; repository review costs $0.13 and $0.0581; the cache-heavy agent loop costs $0.16 and $0.057. Costs use the listed standard API rates.
A complete documented context-window comparison is not available.
Estimates at 50,000 req/day · 1000 tokens/req average.
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
OSWorld 2.1 Offline
Not directly comparable
CWE-bench v1
Not directly comparable
ExploitGym
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
Terminal-Bench 4.0
Not directly comparable
CyberGym
Not directly comparable
Toolathlon-Verified
Not directly comparable
MCP Atlas
Not directly comparable
JobBench
Not directly comparable
APEX-Agents
Not directly comparable
DRACO
Not directly comparable
BrowseComp
Not directly comparable
Agents' Last Exam
Not directly comparable
Hermes Index
Not directly comparable
Hermes Bench
Not directly comparable
FrontierSWE v2
Not directly comparable
DeepSWE
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
SciCode
Not directly comparable
ProgramBench
Not directly comparable
sweMarathon
Not directly comparable
MLS-Bench Lite
Not directly comparable
Chartography (no tools)
Not directly comparable
Blueprint-Bench 2
Not directly comparable
OfficeQA Pro
Not directly comparable
MMMU-Pro
Not directly comparable
Gray Swan IPI (15 attempts)
Not directly comparable
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Last updated October 28, 2026