Solar Mini 4 model profile

Evidence snapshot: 2026-10-13

Solar Mini 4 is a Upstage model profile with a 524,288-token context window. The dated catalog snapshot records text modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling.

Solar Mini 4 is Upstage's compact, cost-efficient language model, a 35B-parameter mixture-of-experts with 3B active parameters and a 524K context window. It is built for agentic use cases where response...

Solar Mini 4 is a reference profile: Upstage publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Solar Mini 4 is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.

Solar Mini 4 accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces.

The dated reference snapshot lists $0.05 input and $0.2 output per million tokens. Cached input is $0.005 per million tokens.

Solar Mini 4 ranked #28 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Profile data was reviewed for the 2026-10-13 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

Profile facts

Profile type: Model research profile
Provider or publisher: Upstage
Context window: 524,288 tokens
Snapshot date: 2026-10-13
Knowledge cutoff: Not disclosed
Reference catalog ID: upstage/solar-mini4

When to pick Solar Mini 4

Solar Mini 4 is a reference profile: Upstage publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Each condition below is derived from this model's own values in the 2026-10-13 snapshot, compared only against models publishing the same field.

Reach for it when cost is the binding constraint. At $0.05 in and $0.2 out per 1M tokens, combined token price sits in the cheapest quarter of the 149 models publishing both rates in this snapshot.
Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
Reach for it when you want to trade depth against cost per call. Reasoning effort is selectable across max, xhigh, high, medium, low, minimal, none, so one route can serve both cheap and deep work.
Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.

Context, modalities, and identity

Solar Mini 4 accepts text and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces.

Provider or publisher: Upstage
Context window: 524,288 tokens
Maximum output: 131,072 tokens
Input modalities: text
Output modalities: text
Knowledge cutoff: Not disclosed

Model overview

Reference model ID: upstage/solar-mini4
Canonical version: upstage/solar-mini4-20260922
Hugging Face ID: Not separately documented

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters: frequency_penalty, include_reasoning, max_tokens, parallel_tool_calls, presence_penalty, reasoning, reasoning_effort, response_format, structured_outputs, temperature, tool_choice, tools, top_p

prompt caching
reasoning controls
structured output
text generation
tool calling

Dated pricing snapshot

The dated reference snapshot lists $0.05 input and $0.2 output per million tokens. Cached input is $0.005 per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

Price date: 2026-10-13
Input: $0.05 per 1M tokens
Cached input: $0.005 per 1M tokens
Output: $0.2 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 2 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints: 2
Best p50 latency: No recent metric
Best p50 throughput: No recent metric
Availability with routing: No recent metric
Availability without routing: No recent metric
Performance date: 2026-10-13

Provider	Quantization	Input / 1M	Output / 1M	Cache read / 1M	Context	p50 latency	p50 throughput	Uptime (1d)
Upstage	unknown	$0.05 / 1M	$0.2 / 1M	$0.005 / 1M	524,288 tokens	No recent p50	No recent p50	100.00%
Upstage	unknown	$0.05 / 1M	$0.2 / 1M	$0.005 / 1M	524,288 tokens	No recent p50	No recent p50	100.00%

Benchmark evidence and limitations

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Intelligence Index: 24.1

Design Arena category	Elo	Win rate	Rank
gamedev	1154	32.6%	#69
website	1177	35.9%	#76

Popularity and market context

Third-party catalog rank: #28
Global market share: Not inferred
Observation date: 2026-10-13

Frequently asked questions

When should I use Solar Mini 4?

Solar Mini 4 is a reference profile: Upstage publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Reach for it when cost is the binding constraint: At $0.05 in and $0.2 out per 1M tokens, combined token price sits in the cheapest quarter of the 149 models publishing both rates in this snapshot. Reach for it when the model has to call tools: Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose. Reach for it when you want to trade depth against cost per call: Reasoning effort is selectable across max, xhigh, high, medium, low, minimal, none, so one route can serve both cheap and deep work. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.

What is Solar Mini 4?

What context window does Solar Mini 4 have?

The dated profile lists 524,288 tokens of context and up to 131,072 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

What benchmark evidence is available for Solar Mini 4?

The 2026-10-13 snapshot includes 1 Artificial Analysis index and 2 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Is Solar Mini 4 available through Kendr?

This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.

Does the popularity rank represent Solar Mini 4's global market share?

Sources and evidence dates

Solar Mini 4 third-party catalog record (catalog, checked 2026-10-13)
Third-party model catalog methodology (methodology, checked 2026-10-13)
Artificial Analysis capability indices methodology (benchmark, checked 2026-10-13)
Design Arena leaderboard and methodology (benchmark, checked 2026-10-13)