Long documents
Prompts that approach the documented context limit
Gemini 4 Argon
Gemini 4 Argon has the larger documented context window.
Confidence: documented
Composer 2.5 vs Gemini 4 Argon
Updated November 13, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
Share or export
Decision reading
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. 2 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
- API price per 1M tokens
Composer 2.5: $0.50 input / $2.50 output
Gemini 4 Argon: $2 input / $10 output
- Context window
Composer 2.5: 200K
Gemini 4 Argon: 1M
- Released
Composer 2.5: May 18, 2026
Gemini 4 Argon: September 30, 2026
- Shared results
- 2
- Composer 2.5 only
- 6
- Gemini 4 Argon only
- 37
- Like-for-like categories
- 0 / 8
Supported: Gemini 4 ArgonHow the comparison works
Which one for your work
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.
Chat turn cost
1K fresh input + 500 output tokens
Composer 2.5
Composer 2.5 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Show secondary and unsupported calls
Repository review cost
50K fresh input + 3K output tokens
Composer 2.5
Composer 2.5 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-ratesCoding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Composer 2.5 is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limitedAgentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Composer 2.5 is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limitedCache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Composer 2.5 does not fit this workload in one request. Composer 2.5 has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
Which one for a specific job
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.
—Composer 2.571.8Gemini 4 Argon
Not comparable · BenchAlign v5.8
The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Same basis rules as the category table below
Or describe your own job
The LLM Selector reads what you need a model for and returns a shortlist, ranked in the same order the job pages publish.
Describe the task and constraints. This selector recommends models; it cannot carry out the task or access your files and accounts.
We keep what you type here, drafts included, for 180 days, and after that only the job and requirements read from it. Nothing is tied to your IP address or account. Leave out names and other personal details. Privacy
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
6 Composer 2.5 only
2 Shared
37 Gemini 4 Argon only
Shape of the matched evidence
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.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, reasoning, multimodal, 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.
Agentic
Not comparable- Composer 2.5
- Not ranked
- Gemini 4 Argon
- 74.9
- Supported · #6/135
- Basis
- BenchAlign v5.8 lane · 2 vs 13 public rows
- Reading
- Not comparable
Coding
Not comparable- Composer 2.5
- Not ranked
- Gemini 4 Argon
- 71.8
- Supported · #9/162
- Basis
- BenchAlign v5.8 lane · 6 vs 9 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Composer 2.5
- Not ranked
- Gemini 4 Argon
- 76.5
- Supported · #7/160
- Basis
- BenchAlign v5.8 lane · 0 vs 7 public rows
- Reading
- Not comparable
Multimodal
Not comparable- Composer 2.5
- Not ranked
- Gemini 4 Argon
- Not ranked
- Basis
- BenchAlign v5.8 lane · 0 vs 5 public rows
- Reading
- Not comparable
Knowledge
Not comparable- Composer 2.5
- Not ranked
- Gemini 4 Argon
- 79.2
- Supported · #8/180
- Basis
- BenchAlign v5.8 lane · 0 vs 2 public rows
- Reading
- Not comparable
Multilingual
Not comparable- Composer 2.5
- Not ranked
- Gemini 4 Argon
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Composer 2.5
- Not ranked
- Gemini 4 Argon
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Composer 2.5
- Not ranked
- Gemini 4 Argon
- 87.4
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 0 vs 2 weighted rows
- Reading
- Not comparable
| Category | Composer 2.5 | Gemini 4 Argon | Basis | Reading |
|---|---|---|---|---|
| Agentic | Not ranked | 74.9Supported · #6/135 | Not comparableBenchAlign v5.8 lane · 2 vs 13 public rows | Not comparable |
| Coding | Not ranked | 71.8Supported · #9/162 | Not comparableBenchAlign v5.8 lane · 6 vs 9 public rows | Not comparable |
| Reasoning | Not ranked | 76.5Supported · #7/160 | Not comparableBenchAlign v5.8 lane · 0 vs 7 public rows | Not comparable |
| Multimodal | Not ranked | Not ranked | Not comparableBenchAlign v5.8 lane · 0 vs 5 public rows | Not comparable |
| Knowledge | Not ranked | 79.2Supported · #8/180 | Not comparableBenchAlign v5.8 lane · 0 vs 2 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 | 87.4Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 2 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, reasoning, multimodal, 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.
Supported evidence per lane · bars run 0–100Methodology
What each workload costs
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.
Chat turn
1K fresh input + 500 output tokens
- Composer 2.5
- $0.00175
- Fits in one request
- Gemini 4 Argon
- $0.007
- Fits in one request
Composer 2.5 has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Composer 2.5
- $0.0325
- Fits in one request
- Gemini 4 Argon
- $0.13
- Fits in one request
Composer 2.5 has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Composer 2.5
- $0.135
- Does not fit in one request
- Cached input priced at the published list-input rate
- Gemini 4 Argon
- $0.16
- Fits in one request
Composer 2.5 does not fit this workload in one request. Composer 2.5 has no published cached-input rate, so cached tokens use its listed input rate.
Your workload
Enter a month of tokens to price it at both models’ listed API rates.
- Composer 2.5
- $10.00
- per month
- Gemini 4 Argon
- $40.00
- per month
Standard listed rates, no batch or volume discounts.
Cached input falls back to the list input rate only where a cached rate is unpublished
Price against score, among all priced models
Overall score against output price per 1M tokens, one model per family. Pricing as of November 12, 2026.
Gemini 4 Argon
- Composer 2.5 has no overall score yet, so it is not plotted.
- 2 models at the same price score higher than Gemini 4 Argon. The nearest is Gemini 4 Carbon (score 89.2, also $10.00 per 1M output tokens).
Gray dots are the other priced models. The dark step line is the efficiency frontier: for a model under it, another model costs no more and scores at least as high.
See Gemini 4 Argon on the full price vs performance chartSpecification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationComposer 2.5Gemini 4 Argon
Context window
Maximum documented context; output-token limits may be lower.
Composer 2.5
200K
Gemini 4 Argon
API model ID
Composer 2.5
Not sourced
Gemini 4 Argon
gemini-4-argon
Google Gemini 4 Argon model documentationCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Composer 2.5
Not published
Gemini 4 Argon
$0.1 per 1M cached input tokens
Google Gemini API pricingDocumented inputs
Composer 2.5
Not sourced
Gemini 4 Argon
text, image, video, audio, pdf
Google Gemini 4 Argon model documentationDocumented outputs
Composer 2.5
Not sourced
Gemini 4 Argon
Provider availability
Composer 2.5
Not sourced
Gemini 4 Argon
Generally Available · Gemini API, Google AI Studio
Google Gemini 4 Argon model documentationReasoning profile
Composer 2.5
Reasoning
Gemini 4 Argon
Reasoning
Weight access
Composer 2.5
Proprietary
Gemini 4 Argon
Proprietary
License
Composer 2.5
Proprietary
Gemini 4 Argon
Proprietary
Release date
Composer 2.5
2026-05-18
Gemini 4 Argon
2026-09-30
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
- Workload cost
- Repository review: $0.0325 vs $0.13. Cache-heavy agent loop: $0.135 vs $0.16.
- Context tradeoff
- Gemini 4 Argon has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, Composer 2.5 or Gemini 4 Argon?
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Composer 2.5 or Gemini 4 Argon?
Composer 2.5 is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Composer 2.5 or Gemini 4 Argon?
Composer 2.5 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Composer 2.5 or Gemini 4 Argon?
For the stated presets, chat costs $0.00175 on Composer 2.5 and $0.007 on Gemini 4 Argon; repository review costs $0.0325 and $0.13; the cache-heavy agent loop costs $0.135 and $0.16. Composer 2.5 does not fit this workload in one request. Composer 2.5 has no published cached-input rate, so cached tokens use its listed input rate.
Which has the larger context window, Composer 2.5 or Gemini 4 Argon?
Gemini 4 Argon has the larger documented context window: 1M, compared with 200K.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence45 rows
Agentic
Terminal-Bench 2.0
Composer 2.569.3%SourceGemini 4 Argon—Not directly comparable
Terminal-Bench 2.1 (Vals)
Composer 2.558.4%SourceGemini 4 Argon57.7%SourceComposer 2.5 leads this result
AutomationBench
Composer 2.5—Gemini 4 Argon51.3%SourceNot directly comparable
Finance Agent v2
Composer 2.5—Gemini 4 Argon65.4%SourceNot directly comparable
Terminal-Bench 4.0
Composer 2.5—Gemini 4 Argon57.40%SourceNot directly comparable
Agents' Last Exam
Composer 2.5—Gemini 4 Argon39.5%SourceNot directly comparable
OSWorld 2.0
Composer 2.5—Gemini 4 Argon69.2%SourceNot directly comparable
CWE-bench v1
Composer 2.5—Gemini 4 Argon68.0%SourceNot directly comparable
Terminal-Bench-Science 0.1 (6x verifier timeout)
Composer 2.5—Gemini 4 Argon57.6%SourceNot directly comparable
MazeBench
Composer 2.5—Gemini 4 Argon12%SourceNot directly comparable
OSWorld 2.1 Offline
Composer 2.5—Gemini 4 Argon74.7%SourceNot directly comparable
ExploitGym
Composer 2.5—Gemini 4 Argon39.5%SourceNot directly comparable
RoboDojo Sim
Composer 2.5—Gemini 4 Argon34.2%SourceNot directly comparable
CWE-bench
Composer 2.5—Gemini 4 Argon65.0%SourceNot directly comparable
Coding
Terminal-Bench 2.0
Composer 2.569.3%SourceGemini 4 Argon—Not directly comparable
SWE Multilingual
Composer 2.579.8%SourceGemini 4 Argon—Not directly comparable
cursorBench31
Composer 2.563.2%SourceGemini 4 Argon—Not directly comparable
CursorBench 3.2
Composer 2.556.1%SourceGemini 4 Argon—Not directly comparable
SWE-bench (Vals)
Composer 2.579.6%SourceGemini 4 Argon—Not directly comparable
CursorBench 4.0
Shared sourceComposer 2.527.7%Gemini 4 Argon52.9%Gemini 4 Argon leads this result
ScarfBench
Composer 2.5—Gemini 4 Argon75.2%SourceNot directly comparable
DeepSWE
Composer 2.5—Gemini 4 Argon77.9%SourceNot directly comparable
FrontierSWE v2
Composer 2.5—Gemini 4 Argon55.0%SourceNot directly comparable
Vibe Code Bench
Composer 2.5—Gemini 4 Argon91.90%SourceNot directly comparable
PostTrainBench v1.1
Composer 2.5—Gemini 4 Argon45.3%SourceNot directly comparable
Bug Hunt Bench
Composer 2.5—Gemini 4 Argon40.7 fixesSourceNot directly comparable
FrontierCode 2.0
Composer 2.5—Gemini 4 Argon26.3%SourceNot directly comparable
PostTrainBench
Composer 2.5—Gemini 4 Argon40.4%SourceNot directly comparable
Reasoning
STEMBench
Composer 2.5—Gemini 4 Argon2.44SourceNot directly comparable
Graphwalks BFS 128K
Composer 2.5—Gemini 4 Argon99.7%SourceNot directly comparable
GraphWalks BFS 256K–1M
Composer 2.5—Gemini 4 Argon84.2%SourceNot directly comparable
ARC-AGI-1
Composer 2.5—Gemini 4 Argon98.50%SourceNot directly comparable
ARC-AGI-2
Composer 2.5—Gemini 4 Argon91.3%SourceNot directly comparable
ARC-AGI-3
Composer 2.5—Gemini 4 Argon46.3%SourceNot directly comparable
ARC-AGI-3 Provider Adapter
Composer 2.5—Gemini 4 Argon97.30%SourceNot directly comparable
Multimodal
ParseBench-2
Composer 2.5—Gemini 4 Argon84.20%SourceNot directly comparable
ExtractBench Pro
Composer 2.5—Gemini 4 Argon30%SourceNot directly comparable
Chartography (no tools)
Composer 2.5—Gemini 4 Argon71.6%SourceNot directly comparable
LVBench
Composer 2.5—Gemini 4 Argon91.7%SourceNot directly comparable
Blueprint-Bench 2
Composer 2.5—Gemini 4 Argon54.4%SourceNot directly comparable
Knowledge
Instruction following
Gray Swan IPI (15 attempts)
Composer 2.5—Gemini 4 Argon0.7%SourceNot directly comparable
Math
45 public results · 2 shared
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Last updated November 13, 2026