Phi-4 Reasoning vs GPT-5.6 Sol

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingPhi-4-reasoningGPT-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

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Microsoft · activePhi-4 ReasoningVerified Aug 28, 2026
OpenAI · activeGPT-5.6 SolVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldPhi-4-reasoningGPT-5.6 Sol
DeveloperMicrosoftOpenAI
FamilyPhi 4 ReasoningGpt 5 6
ModelPhi-4-reasoningGPT-5.6 Sol
VersionPhi-4-reasoningGPT-5.6 Sol
Lifecycleactiveactive
Released2025-04-30Unknown
Knowledge cutoffUnknown2026-02-16
Input modalitiesTextText, Image
Output modalitiesTextText
Context window33K1,050K
Total parameters14.7BUnknown
Active parametersUnknownUnknown
LicensemitUnknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownOpenai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoningchat, generation, reasoning, tools

11 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

Phi-4 Reasoning Capabilities

chatgenerationreasoning
Input price
Output price
Serving providers0
Canonical IDmicrosoft/Phi-4-reasoning

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

Phi-4 Reasoning vs GPT-5.6 Sol FAQs

Is Phi-4 Reasoning or GPT-5.6 Sol better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Phi-4 Reasoning and GPT-5.6 Sol, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Phi-4 Reasoning 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, Phi-4 Reasoning or GPT-5.6 Sol?+

GPT-5.6 Sol has the larger sourced context window. Phi-4 Reasoning supports 33K and GPT-5.6 Sol supports 1,050K.

Which performs better in benchmarks, Phi-4 Reasoning or GPT-5.6 Sol?+

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

Can Phi-4 Reasoning or GPT-5.6 Sol be self-hosted?+

Phi-4 Reasoning is the only model in this pair currently marked as self-hostable. Phi-4 Reasoning is open weight; GPT-5.6 Sol is not marked open weight.

Can Phi-4 Reasoning and GPT-5.6 Sol understand images?+

Phi-4 Reasoning is not 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, Phi-4 Reasoning or GPT-5.6 Sol?+

Neither has a larger sourced maximum output. Phi-4 Reasoning is — and GPT-5.6 Sol is 128K.

Do Phi-4 Reasoning and GPT-5.6 Sol support reasoning and tool use?+

Phi-4 Reasoning: reasoning. GPT-5.6 Sol: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Phi-4 Reasoning or GPT-5.6 Sol?+

Phi-4 Reasoning has 0 sourced provider routes; GPT-5.6 Sol has 2, so GPT-5.6 Sol has broader tracked availability.

Which offers better value, Phi-4 Reasoning 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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