Phi-4 Reasoning vs Qwen3.8 Max

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingPhi-4-reasoningQwen3.8-Max
CostLower is better · Published-token output estimateUnrankedNot in the 36-model eligible cohort#19 of 36$0.107 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
Qwen · activeQwen3.8 MaxVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldPhi-4-reasoningQwen3.8-Max
DeveloperMicrosoftQwen
FamilyPhi 4 ReasoningQwen3 8 Max
ModelPhi-4-reasoningQwen3.8-Max
VersionPhi-4-reasoningQwen3.8-Max
Lifecycleactiveactive
Released2025-04-30Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video
Output modalitiesTextText
Context window33K1,000K
Total parameters14.7B2.4T
Active parametersUnknownUnknown
LicensemitUnknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownAlibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoningagents, chat, reasoning, structured_outputs, tools, vision

12 comparable fields · 10 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

Qwen3.8 Max Capabilities

agentschatreasoningstructured outputstoolsvision
Input price$1.65
Output price$4.951
Serving providers4
Canonical IDqwen/qwen3.8-max

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Phi-4 Reasoning vs Qwen3.8 Max FAQs

Is Phi-4 Reasoning or Qwen3.8 Max better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Phi-4 Reasoning and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Phi-4 Reasoning or Qwen3.8 Max?+

Only Qwen3.8 Max has a directly sourced input price: $1.65 per million tokens. Only Qwen3.8 Max has a directly sourced output price: $4.951 per million tokens.

Which has a larger context window, Phi-4 Reasoning or Qwen3.8 Max?+

Qwen3.8 Max has the larger sourced context window. Phi-4 Reasoning supports 33K and Qwen3.8 Max supports 1,000K.

Which performs better in benchmarks, Phi-4 Reasoning or Qwen3.8 Max?+

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 Qwen3.8 Max be self-hosted?+

Phi-4 Reasoning is the only model in this pair currently marked as self-hostable. Phi-4 Reasoning is open weight; Qwen3.8 Max is not marked open weight.

Can Phi-4 Reasoning and Qwen3.8 Max understand images?+

Phi-4 Reasoning is not documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Phi-4 Reasoning or Qwen3.8 Max?+

Neither has a larger sourced maximum output. Phi-4 Reasoning is — and Qwen3.8 Max is 131K.

Do Phi-4 Reasoning and Qwen3.8 Max support reasoning and tool use?+

Phi-4 Reasoning: reasoning. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Phi-4 Reasoning or Qwen3.8 Max?+

Phi-4 Reasoning has 0 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.

Which offers better value, Phi-4 Reasoning or Qwen3.8 Max?+

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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