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BenchLM
Data

Apodex 1.1 vs DeepSeek V3

Updated October 9, 2026. Rank says Apodex 1.1 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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Decision reading

Apodex 1.1 has the higher public point estimate, 50.64 versus 31.92. Their conditional score ranges 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.

Model A

Apodex

50.64/100

Estimated · Public rank #86

Conditional range 36.3–65.0

Model B
DeepSeek logo

DeepSeek

31.92/100

Supported · Public rank #158

90% interval 15.8–48.0

Shared results
1
Apodex 1.1 only
9
DeepSeek V3 only
5
Like-for-like categories
0 / 8
Estimated: Apodex 1.1 · Supported: DeepSeek V3. Conditional ranges do not establish rank confidence.How 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.

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

    Apodex 1.1 and DeepSeek V3 are 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

    Apodex 1.1 and DeepSeek V3 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

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. DeepSeek V3 does not fit this workload in one request. Apodex 1.1 has no comparable published API token rate.

    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

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.

42.7Apodex 1.116.2DeepSeek V3

Directional only · BenchAlign v5.8

Apodex 1.1 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.

Same basis rules as the category table below

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

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.

Bars run 0–100 on each benchmark’s normalized display scale

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, 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
45.4
Estimated · #52/122
DeepSeek V3
10.4
Estimated · #116/122
Basis
BenchAlign v5.8 lane · 4 vs 0 public rows
Reading
Directional only

Coding

Directional only
Apodex 1.1
42.7
Estimated · #59/146
DeepSeek V3
16.2
Estimated · #128/146
Basis
BenchAlign v5.8 lane · 2 vs 2 public rows
Reading
Directional only

Knowledge

Directional only
Apodex 1.1
53.5
Supported · #59/174
DeepSeek V3
30.1
Estimated · #139/174
Basis
BenchAlign v5.8 lane · 3 vs 2 public rows
Reading
Directional only

Reasoning

Not comparable
Apodex 1.1
76.8
Unranked · 2 rankable rows
DeepSeek V3
42.3
Unranked · 2 rankable rows
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Apodex 1.1
77.7
Unranked · 1 rankable row
DeepSeek V3
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Apodex 1.1
Not ranked
DeepSeek V3
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Apodex 1.1
Not ranked
DeepSeek V3
38.2
#104/125
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Apodex 1.1
Not ranked
DeepSeek V3
26.0
Unranked · 1 rankable row
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
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.

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

Apodex 1.1
API rate not published
Fit state unavailable
DeepSeek V3
$0.00082
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
DeepSeek V3
$0.0168
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
DeepSeek V3
$0.0304
Does not fit in one request

DeepSeek V3 does not fit this workload in one request. Apodex 1.1 has no comparable published API token rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

Apodex 1.1

N/A

DeepSeek V3

128K

API model ID

Apodex 1.1

Not sourced

DeepSeek V3

Not sourced

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

DeepSeek V3

$0.07 per 1M cached input tokens

Documented inputs

Apodex 1.1

Not sourced

DeepSeek V3

Not sourced

Documented outputs

Apodex 1.1

Not sourced

DeepSeek V3

Not sourced

Provider availability

Apodex 1.1

Not sourced

DeepSeek V3

Not sourced

Reasoning profile

Apodex 1.1

Reasoning

DeepSeek V3

Non-Reasoning

Weight access

Apodex 1.1

Proprietary

DeepSeek V3

Open Weight

License

Apodex 1.1

Proprietary

DeepSeek V3

Open Weight

Release date

Apodex 1.1

2026-08-24

DeepSeek V3

2024-12-26

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
Apodex 1.1 has the higher public point estimate, 50.64 versus 31.92. Their conditional score ranges overlap. These ranges do not establish rank confidence.
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.

Questions

Which is better, Apodex 1.1 or DeepSeek V3?

Apodex 1.1 has the higher public point estimate, 50.64 versus 31.92. Their conditional score ranges overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Apodex 1.1 or DeepSeek V3?

Apodex 1.1 scores higher for coding on the public lane, 42.7 to 16.2. Apodex 1.1 and DeepSeek V3 are 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, Apodex 1.1 or DeepSeek V3?

Apodex 1.1 scores higher for agentic tasks on the public lane, 45.4 to 10.4. Apodex 1.1 and DeepSeek V3 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 DeepSeek V3?

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 DeepSeek V3?

A complete documented context-window comparison is not available.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Apodex 1.1
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
DeepSeek V3
API / mo$1,028
Self-host / mo$18,221
Break-even1.2B/day
Model the full 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 evidence15 rows

Agentic

  • Terminal-Bench 2.1

    Apodex 1.170.8%
    Source
    DeepSeek V3—

    Not directly comparable

  • HLE w/ tools

    Apodex 1.156.1%
    Source
    DeepSeek V3—

    Not directly comparable

  • APEX-Agents

    Apodex 1.138.5%
    Source
    DeepSeek V3—

    Not directly comparable

  • DeepSearchQA

    Apodex 1.192.4%
    Source
    DeepSeek V3—

    Not directly comparable

Coding

  • Terminal-Bench 2.1

    Apodex 1.170.8%
    Source
    DeepSeek V3—

    Not directly comparable

  • SWE-bench Verified

    Apodex 1.177.7%
    Source
    DeepSeek V342%
    Source

    Apodex 1.1 leads this result

  • LiveCodeBench

    Apodex 1.1—
    DeepSeek V337.6%
    Source

    Not directly comparable

Knowledge

  • HLE

    Apodex 1.156.1%
    Source
    DeepSeek V3—

    Not directly comparable

  • FrontierScience Research

    Apodex 1.163.3%
    Source
    DeepSeek V3—

    Not directly comparable

  • BioMysteryBench (human-difficult)

    Apodex 1.135.3%
    Source
    DeepSeek V3—

    Not directly comparable

  • GPQA

    Apodex 1.1—
    DeepSeek V359.1%
    Source

    Not directly comparable

  • MMLU-Pro

    Apodex 1.1—
    DeepSeek V375.9%
    Source

    Not directly comparable

Instruction following

  • IFEval

    Apodex 1.1—
    DeepSeek V386.1%
    Source

    Not directly comparable

Math

  • IMO 2026

    Apodex 1.131/42
    Source
    DeepSeek V3—

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Apodex 1.1—
    DeepSeek V31.724%
    Source

    Not directly comparable

15 public results · 1 shared

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Last updated October 9, 2026