Phi-4 Reasoning vs Mistral Large 3

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
Mistral AI · activeMistral Large 3Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldPhi-4-reasoningMistral Large 3
DeveloperMicrosoftMistral AI
FamilyPhi 4 ReasoningMistral Large 3
ModelPhi-4-reasoningMistral Large 3
VersionPhi-4-reasoningMistral Large 3
Lifecycleactiveactive
Released2025-04-302025-12-02
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Document
Output modalitiesTextText
Context window33K262K
Total parameters14.7B675B
Active parametersUnknown41B
LicensemitApache-2.0
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownMistral AI (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoningagents, chat, generation, structured_outputs, tools, vision

14 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

Mistral Large 3 Capabilities

agentschatgenerationstructured outputstoolsvision
Input price$0.50
Output price$1.50
Serving providers2
Canonical IDmistralai/mistral-large-2512

Internal Comparison Graph

Related Comparisons

All text comparisons →
APairBContext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext

Primary Evidence

Sources and Freshness

Questions

Phi-4 Reasoning vs Mistral Large 3 FAQs

Is Phi-4 Reasoning or Mistral Large 3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Phi-4 Reasoning and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Phi-4 Reasoning or Mistral Large 3?+

Only Mistral Large 3 has a directly sourced input price: $0.50 per million tokens. Only Mistral Large 3 has a directly sourced output price: $1.50 per million tokens.

Which has a larger context window, Phi-4 Reasoning or Mistral Large 3?+

Mistral Large 3 has the larger sourced context window. Phi-4 Reasoning supports 33K and Mistral Large 3 supports 262K.

Which performs better in benchmarks, Phi-4 Reasoning or Mistral Large 3?+

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 Mistral Large 3 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Phi-4 Reasoning is open weight; Mistral Large 3 is open weight.

Can Phi-4 Reasoning and Mistral Large 3 understand images?+

Phi-4 Reasoning is not documented with image input; Mistral Large 3 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Phi-4 Reasoning or Mistral Large 3?+

Neither has a larger sourced maximum output. Phi-4 Reasoning is — and Mistral Large 3 is —.

Do Phi-4 Reasoning and Mistral Large 3 support reasoning and tool use?+

Phi-4 Reasoning: reasoning. Mistral Large 3: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Phi-4 Reasoning or Mistral Large 3?+

Phi-4 Reasoning has 0 sourced provider routes; Mistral Large 3 has 2, so Mistral Large 3 has broader tracked availability.

Which offers better value, Phi-4 Reasoning or Mistral Large 3?+

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.

Send Feedback