Muse Spark 1.2 vs GPT-5.6 Sol

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingMuse Spark 1.2GPT-5.6 Sol
CostLower is better · Published-token output estimateUnrankedNot in the 36-model eligible cohort#20 of 36$0.117 per LiveBench case

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

BenchmarkMuse Spark 1.2GPT-5.6 Sol
LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader0.9792% of row best · score · Muse Spark 1.2 (xHigh); 95% CI [-0.15615379, 2.09143176]; sessions 18416; observations 735300; rank 299.76100% of row best · score · GPT 5.6 Sol (xHigh); 95% CI [8.23209281, 11.28769899]; sessions 28524; observations 2917301; rank 4
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,488.47100% of row best · rating · muse-spark-1.2 (xHigh); 95% CI [1478.00612479, 1498.93408698]; votes 3244; rank 81,454.6998% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1449.58093424, 1459.80348090]; votes 23153; rank 35
LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader1,304.12100% of row best · rating · muse-spark-1.2 (xHigh); 95% CI [1289.37421867, 1318.87511042]; votes 1844; rank 121,276.9098% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1267.71657009, 1286.08047215]; votes 5837; rank 30
LiveBench2026-06-25 · overall · leader81.8896% of row best · percent · muse-spark-1.2-xhigh · 18,700 output tokens / case85.26100% of row best · percent · gpt-5.6-sol-max · 11,729 output tokens / case
Overall ResultCounted from the protocol-matched rows above2 benchmark winsTied overall2 benchmark winsTied overall

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Meta · previewMuse Spark 1.2Verified Sep 3, 2026
OpenAI · activeGPT-5.6 SolVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldMuse Spark 1.2GPT-5.6 Sol
DeveloperMetaOpenAI
FamilyMuse SparkGpt 5 6
ModelMuse Spark 1.2GPT-5.6 Sol
VersionMuse Spark 1.2GPT-5.6 Sol
Lifecyclepreviewactive
Released2026-08-05Unknown
Knowledge cutoffUnknown2026-02-16
Input modalitiesText, Image, Video, AudioText, Image
Output modalitiesTextText
Context windowUnknown1,050K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessUnknownOpenai (Standard), Openrouter (Standard)
Capabilitieschat, computer-use, generation, reasoning, research, structured_outputs, toolschat, generation, reasoning, tools

11 comparable fields · 7 material differences · Pair passes the primary-source comparison gate

Muse Spark 1.2 Capabilities

chatcomputer-usegenerationreasoningresearchstructured outputstools
Input price
Output price
Serving providers0
Canonical IDmeta-llama/muse-spark-1.2

GPT-5.6 Sol Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$10.00
Serving providers2
Canonical IDopenai/gpt-5.6-sol

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Muse Spark 1.2 vs GPT-5.6 Sol FAQs

Is Muse Spark 1.2 or GPT-5.6 Sol better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.2 and GPT-5.6 Sol, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Muse Spark 1.2 or GPT-5.6 Sol?+

Only GPT-5.6 Sol has a directly sourced input price: $2.00 per million tokens. Only GPT-5.6 Sol has a directly sourced output price: $10.00 per million tokens.

Which has a larger context window, Muse Spark 1.2 or GPT-5.6 Sol?+

Neither model has a larger sourced context window in this comparison. Muse Spark 1.2 is — and GPT-5.6 Sol is 1,050K.

Which performs better in benchmarks, Muse Spark 1.2 or GPT-5.6 Sol?+

There is no overall benchmark winner: The verified common benchmarks do not produce a majority winner.

Can Muse Spark 1.2 or GPT-5.6 Sol be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Muse Spark 1.2 is not marked open weight; GPT-5.6 Sol is not marked open weight.

Can Muse Spark 1.2 and GPT-5.6 Sol understand images?+

Muse Spark 1.2 is documented with image input; GPT-5.6 Sol is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Muse Spark 1.2 or GPT-5.6 Sol?+

Neither has a larger sourced maximum output. Muse Spark 1.2 is — and GPT-5.6 Sol is 128K.

Do Muse Spark 1.2 and GPT-5.6 Sol support reasoning and tool use?+

Muse Spark 1.2: reasoning, tool calling, and image input. GPT-5.6 Sol: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Muse Spark 1.2 or GPT-5.6 Sol?+

Muse Spark 1.2 has 0 sourced provider routes; GPT-5.6 Sol has 2, so GPT-5.6 Sol has broader tracked availability.

Which offers better value, Muse Spark 1.2 or GPT-5.6 Sol?+

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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