Phi-4 Mini Reasoning vs Qwen3 Coder Flash

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.195Openrouter · Sep 23, 2026
Output priceFrom · USD / 1M tokensNot reported$0.975Openrouter · Sep 23, 2026
Context windowMaximum documented tokens131K1,000K
Model facts checkedAug 28, 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

FieldPhi-4-mini-reasoningQwen3 Coder Flash
DeveloperMicrosoftQwen
FamilyPhi 4 Mini ReasoningQwen3 Coder
ModelPhi-4-mini-reasoningQwen3 Coder Flash
VersionPhi-4-mini-reasoningQwen3 Coder Flash
Lifecycleactiveactive
Released2025-04-302025-07-28
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K1,000K
Total parameters3.8BUnknown
Active parametersUnknownUnknown
LicensemitUnknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownAlibaba Cloud Model Studio (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoningagents, chat, generation, reasoning, structured_outputs, tools

Phi-4 Mini Reasoning Capabilities

chatgenerationreasoning
Serving providers0
Canonical IDmicrosoft/Phi-4-mini-reasoning

Qwen3 Coder Flash Capabilities

agentschatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDqwen/qwen3-coder-flash

Primary Evidence

Sources and Freshness

Questions

Phi-4 Mini Reasoning vs Qwen3 Coder Flash FAQs

Is Phi-4 Mini Reasoning or Qwen3 Coder Flash better for coding?+

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

Which is cheaper, Phi-4 Mini Reasoning or Qwen3 Coder Flash?+

Only Qwen3 Coder Flash has a directly sourced input price: $0.195 per million tokens. Only Qwen3 Coder Flash has a directly sourced output price: $0.975 per million tokens.

Which has a larger context window, Phi-4 Mini Reasoning or Qwen3 Coder Flash?+

Qwen3 Coder Flash has the larger sourced context window. Phi-4 Mini Reasoning supports 131K and Qwen3 Coder Flash supports 1,000K.

Which performs better in benchmarks, Phi-4 Mini Reasoning or Qwen3 Coder Flash?+

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

Can Phi-4 Mini Reasoning or Qwen3 Coder Flash be self-hosted?+

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

Can Phi-4 Mini Reasoning and Qwen3 Coder Flash understand images?+

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

Which can generate longer answers, Phi-4 Mini Reasoning or Qwen3 Coder Flash?+

Neither has a larger sourced maximum output. Phi-4 Mini Reasoning is — and Qwen3 Coder Flash is —.

Do Phi-4 Mini Reasoning and Qwen3 Coder Flash support reasoning and tool use?+

Phi-4 Mini Reasoning: reasoning. Qwen3 Coder Flash: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Phi-4 Mini Reasoning or Qwen3 Coder Flash?+

Phi-4 Mini Reasoning has 0 sourced provider routes; Qwen3 Coder Flash has 2, so Qwen3 Coder Flash has broader tracked availability.

Which offers better value, Phi-4 Mini Reasoning or Qwen3 Coder Flash?+

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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