Muse Spark 1.3 vs GPT-5.3 Codex

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$1.75Openai · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$14.00Openai · Sep 3, 2026
Context windowMaximum documented tokensNot reported400K
Model facts checkedSep 4, 2026View model evidence →Sep 3, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldMuse Spark 1.3GPT-5.3-Codex
DeveloperMetaOpenAI
FamilyMuse SparkGpt 5 3
ModelMuse Spark 1.3GPT-5.3-Codex
VersionMuse Spark 1.3GPT-5.3-Codex
Lifecyclepreviewactive
Released2026-09-02Unknown
Knowledge cutoffUnknown2025-08-31
Input modalitiesText, Image, VideoText, Image
Output modalitiesTextText
Context windowUnknown400K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessUnknownOpenai (Standard), Openrouter (Standard)
Capabilitieschat, computer-use, generation, reasoning, research, toolschat, generation, reasoning, structured_outputs, tools

Muse Spark 1.3 Capabilities

chatcomputer-usegenerationreasoningresearchtools
Serving providers0
Canonical IDmeta-llama/muse-spark-1.3

GPT-5.3 Codex Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5.3-codex

Primary Evidence

Sources and Freshness

Questions

Muse Spark 1.3 vs GPT-5.3 Codex FAQs

Is Muse Spark 1.3 or GPT-5.3 Codex better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.3 and GPT-5.3 Codex, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Muse Spark 1.3 or GPT-5.3 Codex?+

Only GPT-5.3 Codex has a directly sourced input price: $1.75 per million tokens. Only GPT-5.3 Codex has a directly sourced output price: $14.00 per million tokens.

Which has a larger context window, Muse Spark 1.3 or GPT-5.3 Codex?+

Neither model has a larger sourced context window in this comparison. Muse Spark 1.3 is — and GPT-5.3 Codex is 400K.

Which performs better in benchmarks, Muse Spark 1.3 or GPT-5.3 Codex?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Muse Spark 1.3 or GPT-5.3 Codex be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Muse Spark 1.3 is not marked open weight; GPT-5.3 Codex is not marked open weight.

Can Muse Spark 1.3 and GPT-5.3 Codex understand images?+

Muse Spark 1.3 is documented with image input; GPT-5.3 Codex is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Muse Spark 1.3 or GPT-5.3 Codex?+

Neither has a larger sourced maximum output. Muse Spark 1.3 is — and GPT-5.3 Codex is 128K.

Do Muse Spark 1.3 and GPT-5.3 Codex support reasoning and tool use?+

Muse Spark 1.3: reasoning, tool calling, and image input. GPT-5.3 Codex: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Muse Spark 1.3 or GPT-5.3 Codex?+

Muse Spark 1.3 has 0 sourced provider routes; GPT-5.3 Codex has 2, so GPT-5.3 Codex has broader tracked availability.

Which offers better value, Muse Spark 1.3 or GPT-5.3 Codex?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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