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BenchLM
Model A
Apodex 1.1

Apodex

51.7/100

Estimated · Public rank #119

90% interval 40.2–63.2

Apodex 1.1 vs GPT-5.4 Pro

Updated September 14, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

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Model B
GPT-5.4 Pro

OpenAI

60.15/100

Estimated · Public rank #66

90% interval 48.6–71.7

Decision reading

GPT-5.4 Pro has the higher public score estimate, 60.15 versus 51.7, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

2 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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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.

No workload recommendation clears the current evidence threshold.

Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.

Show secondary and unsupported calls

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    GPT-5.4 Pro is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    Apodex 1.1 and GPT-5.4 Pro are scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    Not enough matched evidence

    A complete context comparison is not sourced.

    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: rate-fallback

  • 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.

Shared results
2
Apodex 1.1 only
8
GPT-5.4 Pro only
8
Like-for-like categories
0 / 8

2 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.

Agentic

Directional only
Apodex 1.1
53.3
Estimated · #39/153
GPT-5.4 Pro
56.0
Estimated · #36/153
Basis
BenchAlign lane · 4 vs 1 public rows
Reading
Directional only

Knowledge

Directional only
Apodex 1.1
54.6
Supported · #55/183
GPT-5.4 Pro
58.6
Estimated · #40/183
Basis
BenchAlign lane · 3 vs 4 public rows
Reading
Directional only

Coding

Not comparable
Apodex 1.1
52.4
Estimated · #47/152
GPT-5.4 Pro
Not ranked
Basis
BenchAlign lane · 2 vs 0 public rows
Reading
Not comparable

Reasoning

Not comparable
Apodex 1.1
75.5
Unranked · 2 rankable rows
GPT-5.4 Pro
70.1
Unranked · 2 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Math

Not comparable
Apodex 1.1
Not ranked
GPT-5.4 Pro
69.0
Unranked · 4 rankable rows
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Apodex 1.1
Not ranked
GPT-5.4 Pro
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Apodex 1.1
76.6
Unranked · 1 rankable row
GPT-5.4 Pro
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Apodex 1.1
Not ranked
GPT-5.4 Pro
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
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.

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

Apodex 1.1
API rate not published
Fit state unavailable
GPT-5.4 Pro
$0.12
Fits in one request

Apodex 1.1 has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Apodex 1.1
API rate not published
Fit state unavailable
GPT-5.4 Pro
$2.04
Fits in one request

Apodex 1.1 has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Apodex 1.1
API rate not published
Fit state unavailable
Cached-input rate unavailable
GPT-5.4 Pro
$8.40
Fits in one request
Cached input priced at the published list-input rate

GPT-5.4 Pro has no published cached-input rate, so cached tokens use its listed input rate. Apodex 1.1 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.

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Apodex 1.1

No comparable hosted API rate

Apodex pricing

GPT-5.4 Pro

Not published

OpenAI pricing

Provider availability

Apodex 1.1

Not sourced

GPT-5.4 Pro

Generally Available · OpenAI Responses API

OpenAI model catalog

Reasoning profile

Apodex 1.1

Reasoning

GPT-5.4 Pro

Reasoning

Weight access

Apodex 1.1

Proprietary

GPT-5.4 Pro

Proprietary

License

Apodex 1.1

Proprietary

GPT-5.4 Pro

Proprietary

Release date

Apodex 1.1

2026-08-24

GPT-5.4 Pro

2026-03-05

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 Pro has the higher public score estimate, 60.15 versus 51.7, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
A complete documented context comparison is not available.

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence18 rows

Agentic

  • Terminal-Bench 2.1

    Apodex 1.170.8%
    Source
    GPT-5.4 Pro—

    Not directly comparable

  • HLE w/ tools

    Apodex 1.156.1%
    Source
    GPT-5.4 Pro—

    Not directly comparable

  • APEX-Agents

    Apodex 1.138.5%
    Source
    GPT-5.4 Pro—

    Not directly comparable

  • DeepSearchQA

    Apodex 1.192.4%
    Source
    GPT-5.4 Pro—

    Not directly comparable

  • BrowseComp

    Apodex 1.1—
    GPT-5.4 Pro89.3%
    Source

    Not directly comparable

Coding

  • Terminal-Bench 2.1

    Apodex 1.170.8%
    Source
    GPT-5.4 Pro—

    Not directly comparable

  • SWE-bench Verified

    Apodex 1.177.7%
    Source
    GPT-5.4 Pro—

    Not directly comparable

Reasoning

  • ARC-AGI-2

    Apodex 1.1—
    GPT-5.4 Pro83.3%
    Source

    Not directly comparable

Knowledge

  • HLE

    Apodex 1.156.1%
    Source
    GPT-5.4 Pro58.7%
    Source

    GPT-5.4 Pro leads this result

  • FrontierScience Research

    Apodex 1.163.3%
    Source
    GPT-5.4 Pro36.7%
    Source

    Apodex 1.1 leads this result

  • BioMysteryBench (human-difficult)

    Apodex 1.135.3%
    Source
    GPT-5.4 Pro—

    Not directly comparable

  • FrontierScience

    Apodex 1.1—
    GPT-5.4 Pro36.7%
    Source

    Not directly comparable

  • HLE w/o tools

    Apodex 1.1—
    GPT-5.4 Pro42.7%
    Source

    Not directly comparable

Math

  • IMO 2026

    Apodex 1.131/42
    Source
    GPT-5.4 Pro—

    Not directly comparable

  • IPhO 2025 (Theory)

    Apodex 1.1—
    GPT-5.4 Pro93.5%
    Source

    Not directly comparable

  • FrontierMath (legacy)

    Apodex 1.1—
    GPT-5.4 Pro50%
    Source

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Apodex 1.1—
    GPT-5.4 Pro50.000%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Apodex 1.1—
    GPT-5.4 Pro37.500%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Apodex 1.1 or GPT-5.4 Pro?

GPT-5.4 Pro has the higher public score estimate, 60.15 versus 51.7, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Apodex 1.1 or GPT-5.4 Pro?

GPT-5.4 Pro is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Apodex 1.1 or GPT-5.4 Pro?

GPT-5.4 Pro scores higher for agentic tasks on the public lane, 56 to 53.3. Apodex 1.1 and GPT-5.4 Pro 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, Apodex 1.1 or GPT-5.4 Pro?

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, Apodex 1.1 or GPT-5.4 Pro?

A complete documented context-window comparison is not available.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated September 14, 2026

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