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Comparison · 3 models · Updated Oct 4, 2026

Command A Plus vs GPT-5.3 Codex Spark vs GPT-5-Codex

GPT-5-Codex comes out ahead, 42 to 38 and 35 on our weighted score, and it is the cheaper option too.

  1. Cohere

    Command A Plus

    Released May 20, 2026

    35/100
    • ECI—
    • Price$2.50 / $10.00
    • Context128K
  2. OpenAI

    GPT-5.3 Codex Spark

    Released Feb 5, 2026

    38/100
    • ECI—
    • Price$1.75 / $14.00
    • Context128K
  3. Our pick

    OpenAI

    GPT-5-Codex

    Released Sep 15, 2025

    42/100
    • ECI—
    • Price$1.25 / $10.00
    • Context400K
01 — Verdict

GPT-5-Codex is our pick

GPT-5-Codex is the better all-round choice, scoring 42/100 against GPT-5.3 Codex Spark (38) and Command A Plus (35). It leads on price and context window. GPT-5.3 Codex Spark wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceGPT-5-CodexGPT-5-Codex $3.44 · Command A Plus $4.38 · GPT-5.3 Codex Spark $4.81 per 1M tokens (3:1 blend)
  • Longest contextGPT-5-CodexGPT-5-Codex 400,000 · Command A Plus 128,000 · GPT-5.3 Codex Spark 128,000 tokens
  • Widest inputsGPT-5.3 Codex SparkCommand A Plus: Text, Images · GPT-5.3 Codex Spark: Text, Images, PDFs · GPT-5-Codex: Text, Images
  • Self-hostingCommand A PlusPublishes downloadable weights
How the score is built
MeasureWeightCommand A PlusGPT-5.3 Codex SparkGPT-5-Codex
Price50%191824
Inputs & features30%708070
Context window20%242444
Overall100%35/10038/10042/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Command A Plus vs GPT-5.3 Codex Spark vs GPT-5-Codex specifications side by side
SpecificationCommand A PlusCohereGPT-5.3 Codex SparkOpenAIGPT-5-CodexOpenAI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$2.50$1.75$1.25 (best)
Output$10.00 (best)$14.00$10.00 (best)
Cached input—$0.175—
Blended (3:1)$4.38$4.81$3.44 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Cohere APIOfficial OpenAI APIMedian of 3 providers
Limits
Context window128,000 tokens128,000 tokens400,000 tokens (best)
Max output64,000 tokens32,000 tokens128,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYeslow · medium · high · xhighYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsOpenProprietaryProprietary
API model IDcommand-a-plus-05-2026gpt-5.3-codex-spark—
API providers113 (best)
ReleasedMay 20, 2026Feb 5, 2026Sep 15, 2025
Knowledge cutoffApr 1, 2025Aug 31, 2025Sep 30, 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Command A Plus$45.00
  • GPT-5.3 Codex Spark$45.50
  • GPT-5-Codex$32.50
04 — Questions

Which should you choose?

Which is better: Command A Plus, GPT-5.3 Codex Spark or GPT-5-Codex?

GPT-5-Codex is the better all-round choice, scoring 42/100 against GPT-5.3 Codex Spark (38) and Command A Plus (35). It leads on price and context window. GPT-5.3 Codex Spark wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Command A Plus, GPT-5.3 Codex Spark or GPT-5-Codex?

GPT-5-Codex is cheaper at $1.25 input / $10.00 output per million tokens (median across 3 API providers). Command A Plus costs $2.50 input / $10.00 output per million tokens (official Cohere API price); GPT-5.3 Codex Spark costs $1.75 input / $14.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for GPT-5-Codex versus $4.38 for Command A Plus (1.3× as much) and $4.81 for GPT-5.3 Codex Spark (1.4× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Command A Plus has not been scored yet, GPT-5.3 Codex Spark has not been scored yet and GPT-5-Codex has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Command A Plus, GPT-5.3 Codex Spark and GPT-5-Codex yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

GPT-5-Codex has the largest context window at 400,000 tokens, against 128,000 for Command A Plus and 128,000 for GPT-5.3 Codex Spark. Maximum output per response: Command A Plus up to 64,000, GPT-5.3 Codex Spark up to 32,000, GPT-5-Codex up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Command A Plus accepts text and images; GPT-5.3 Codex Spark accepts text, images and PDFs; GPT-5-Codex accepts text and images. GPT-5.3 Codex Spark handles the widest range of inputs.

Are any of these open source?

Command A Plus publishes its weights and can be self-hosted; GPT-5.3 Codex Spark and GPT-5-Codex is proprietary.

Which is newer?

Command A Plus is the newest, released May 20, 2026. GPT-5.3 Codex Spark came out Feb 5, 2026; GPT-5-Codex came out Sep 15, 2025. Knowledge cutoff: Command A Plus Apr 1, 2025, GPT-5.3 Codex Spark Aug 31, 2025, GPT-5-Codex Sep 30, 2024.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.