Agentic
Directional only- GPT-5.4 mini
- 39.1
- Estimated · #119/152
- Llama 4 Maverick
- 23.8
- Estimated · #148/152
- Basis
- BenchAlign lane · 6 vs 0 public rows
- Reading
- Directional only
GPT-5.4 mini vs Llama 4 Maverick
Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
GPT-5.4 mini has the higher public score, 61.11 versus 22.11, and the 90% score intervals do not overlap.
1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
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.
Long documents
Prompts that approach the documented context limit
Llama 4 Maverick
Llama 4 Maverick has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Llama 4 Maverick is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
GPT-5.4 mini and Llama 4 Maverick are scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
18 GPT-5.4 mini only
1 Shared
- Shared results
- 1
- GPT-5.4 mini only
- 18
- Llama 4 Maverick only
- 0
- Like-for-like categories
- 0 / 8
4 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign 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.
Coding
Directional only- GPT-5.4 mini
- 42.7
- Supported · #104/151
- Llama 4 Maverick
- 25.1
- Estimated · #147/151
- Basis
- BenchAlign lane · 4 vs 0 public rows
- Reading
- Directional only
Knowledge
Directional only- GPT-5.4 mini
- 55.6
- Supported · #52/183
- Llama 4 Maverick
- 30.5
- Estimated · #175/183
- Basis
- BenchAlign lane · 5 vs 0 public rows
- Reading
- Directional only
Instruction following
Directional only- GPT-5.4 mini
- 89.8
- #23/123
- Llama 4 Maverick
- 50.5
- #81/123
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Directional only
Reasoning
Not comparable- GPT-5.4 mini
- 73.9
- Unranked · 2 rankable rows
- Llama 4 Maverick
- 55.4
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- GPT-5.4 mini
- 44.5
- Unranked · 2 rankable rows
- Llama 4 Maverick
- 25.3
- Unranked · 1 rankable row
- Basis
- Provisional lane · 2 vs 1 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- GPT-5.4 mini
- Not ranked
- Llama 4 Maverick
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- GPT-5.4 mini
- 57.2
- #31/48
- Llama 4 Maverick
- 51.5
- Unranked · 1 rankable row
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
| Category | GPT-5.4 mini | Llama 4 Maverick | Basis | Reading |
|---|---|---|---|---|
| Agentic | 39.1Estimated · #119/152 | 23.8Estimated · #148/152 | Directional onlyBenchAlign lane · 6 vs 0 public rows | Directional only |
| Coding | 42.7Supported · #104/151 | 25.1Estimated · #147/151 | Directional onlyBenchAlign lane · 4 vs 0 public rows | Directional only |
| Knowledge | 55.6Supported · #52/183 | 30.5Estimated · #175/183 | Directional onlyBenchAlign lane · 5 vs 0 public rows | Directional only |
| Instruction following | 89.8#23/123 | 50.5#81/123 | Directional onlyProvisional lane · 0 vs 0 weighted rows | Directional only |
| Reasoning | 73.9Unranked · 2 rankable rows | 55.4Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | 44.5Unranked · 2 rankable rows | 25.3Unranked · 1 rankable row | Not comparableProvisional lane · 2 vs 1 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 57.2#31/48 | 51.5Unranked · 1 rankable row | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
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.
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.
FrontierMath v2 (Tiers 1-3)
Math
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
- GPT-5.4 mini
- $0.003
- Fits in one request
- Llama 4 Maverick
- Self-hosted; infrastructure cost varies
- Fits in one request
Llama 4 Maverick has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- GPT-5.4 mini
- $0.051
- Fits in one request
- Llama 4 Maverick
- Self-hosted; infrastructure cost varies
- Fits in one request
Llama 4 Maverick has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- GPT-5.4 mini
- $0.075
- Fits in one request
- Llama 4 Maverick
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
Llama 4 Maverick has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationGPT-5.4 miniLlama 4 Maverick
Context window
Maximum documented context; output-token limits may be lower.
GPT-5.4 mini
Llama 4 Maverick
1M
API model ID
GPT-5.4 mini
gpt-5.4-mini
OpenAI GPT-5.4 mini model documentationLlama 4 Maverick
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
GPT-5.4 mini
$0.075 per 1M cached input tokens
OpenAI pricingLlama 4 Maverick
No comparable hosted API rate
Documented inputs
GPT-5.4 mini
text, image
OpenAI model catalogLlama 4 Maverick
Not sourced
Documented outputs
GPT-5.4 mini
Llama 4 Maverick
Not sourced
Provider availability
GPT-5.4 mini
Generally Available · OpenAI Responses API
OpenAI model catalogLlama 4 Maverick
Not sourced
Reasoning profile
GPT-5.4 mini
Reasoning
Llama 4 Maverick
Non-Reasoning
Weight access
GPT-5.4 mini
Proprietary
Llama 4 Maverick
Open Weight
License
GPT-5.4 mini
Proprietary
Llama 4 Maverick
Open Weight
Release date
GPT-5.4 mini
2026-03-17
Llama 4 Maverick
2026-02-28
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
- GPT-5.4 mini has the higher public score, 61.11 versus 22.11, and the 90% score intervals do not overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Llama 4 Maverick has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
GPT-5.4 mini
API / mo$3,938
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Llama 4 Maverick
API / mo$0
Self-host / mo$2,610
Break-even—
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence19 rows
Agentic
Terminal-Bench 2.0
GPT-5.4 mini60%SourceLlama 4 Maverick—Not directly comparable
OSWorld-Verified
GPT-5.4 mini72.1%SourceLlama 4 Maverick—Not directly comparable
MCP Atlas
GPT-5.4 mini57.7%SourceLlama 4 Maverick—Not directly comparable
Toolathlon
GPT-5.4 mini42.9%SourceLlama 4 Maverick—Not directly comparable
τ²-bench results
GPT-5.4 mini93.4%SourceLlama 4 Maverick—Not directly comparable
Terminal-Bench 2.1 (Vals)
GPT-5.4 mini54.7%SourceLlama 4 Maverick—Not directly comparable
Coding
Vibe Code Bench
GPT-5.4 mini47.97%SourceLlama 4 Maverick—Not directly comparable
FrontierCode 1.1 Main
GPT-5.4 mini27.0%SourceLlama 4 Maverick—Not directly comparable
LiveCodeBench (Vals)
GPT-5.4 mini81.5%SourceLlama 4 Maverick—Not directly comparable
SWE-bench (Vals)
GPT-5.4 mini73.0%SourceLlama 4 Maverick—Not directly comparable
Knowledge
GPQA
GPT-5.4 mini88%SourceLlama 4 Maverick—Not directly comparable
HLE
GPT-5.4 mini41.5%SourceLlama 4 Maverick—Not directly comparable
HLE w/o tools
GPT-5.4 mini28.2%SourceLlama 4 Maverick—Not directly comparable
GPQA Diamond (Vals)
GPT-5.4 mini83.1%SourceLlama 4 Maverick—Not directly comparable
MMLU-Pro (Vals)
GPT-5.4 mini84.6%SourceLlama 4 Maverick—Not directly comparable
Math
FrontierMath v2 (Tiers 1-3)
Shared sourceGPT-5.4 mini28.280%Llama 4 Maverick0.690%GPT-5.4 mini leads this result
FrontierMath v2 (Tier 4)
GPT-5.4 mini2.080%SourceLlama 4 Maverick—Not directly comparable
Multimodal
Frequently asked questions
Which is better, GPT-5.4 mini or Llama 4 Maverick?
GPT-5.4 mini has the higher public score, 61.11 versus 22.11, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
Which is better for coding, GPT-5.4 mini or Llama 4 Maverick?
GPT-5.4 mini scores higher for coding on the public lane, 42.7 to 25.1. Llama 4 Maverick 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.
Which is better for agentic tasks, GPT-5.4 mini or Llama 4 Maverick?
GPT-5.4 mini scores higher for agentic tasks on the public lane, 39.1 to 23.8. GPT-5.4 mini and Llama 4 Maverick are 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.
Which costs less, GPT-5.4 mini or Llama 4 Maverick?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, GPT-5.4 mini or Llama 4 Maverick?
Llama 4 Maverick has the larger documented context window: 1M, compared with 400K.
Related comparisons
Last updated September 10, 2026
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