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  5. DeepSeek V3.1vsSolar Mini 4
Updated Sep 2026

DeepSeek V3.1vsSolar Mini 4

Solar Mini 4 is cheaper than DeepSeek V3.1 at $0.05/M vs $0.2/M input tokens.

DeepSeek V3.1 and Solar Mini 4 compared across 19 shared prompts
SpecDeepSeek V3.1Solar Mini 4
Input price$0.2/M tokens$0.05/M tokens
Output price$0.8/M tokens$0.2/M tokens
Context window164K tokens524K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedAug 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 19 prompts both answered. Formatting stripped, words untouched.

Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

DeepSeek V3.1732 words
Of course. Here is the underwriting analysis for the HarborTech Services LBO. Financial Model (FY2026–FY2030) Entry Calculations: FY2025 EBITDA = $120.0m Enterprise Value (EV) at Entry = 12.0 x $120.0m = $1,440.0m Transaction Fees (Uses) = 2.0% x $1,440.0m = $28.8m Total Debt at Close = 5.5 x $120.0m = $660.0m Term…
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Solar Mini 41,718 words
518.51935 New TL: 276.34682 - 86.82747 = 189.51935 Mezz: PIK 194.8377888 * 0.02 = 3.896755776 New Mezz: 194.8377888 + 3.896755776 = 198.734544576 Ending Balances: TL: 189.52 Mezz: 198.73 Total Debt: 388.25 Exit (End of FY2030): Exit EBITDA: 206.6252668 Exit Multiple: 10.5x Exit EV: 206.6252668 * 10.5 = 2,169.5653014…
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

DeepSeek V3.11,083 words
Of course. Here is an innovative recipe designed to the specifications of a Michelin 3-star restaurant. Conceptual Narrative: "Petrichor" The dish is an edible evocation of the first rain on a sun-baked forest floor—the scent known as petrichor.
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Solar Mini 41,364 words
Chronos & Tides A Three-Component Study in Preservation, Precision, and Ephemeral Sensation Concept: A single plate that traces the lifecycle of an umami-rich flavor profile through three distinct temporal states: fermented (time in), precision-cooked (time controlled), and volatile (time suspended).
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

DeepSeek V3.11,370 words
Of course. This is a fascinating counterfactual. An invention as foundational as the transistor arriving 27 years earlier would have sent shockwaves through every aspect of human society. Here is a detailed trace of the likely implications, focusing on second and third-order effects.
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Solar Mini 41,539 words
This is a fascinating counterfactual. I need to note upfront that the scientific and engineering foundations for a working transistor did not exist in 1920. Quantum mechanics was barely a decade old, band theory of solids hadn't been developed, and semiconductor physics (doping, p-n junctions, electron mobility) was…
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Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

DeepSeek V3.1687 words
Of course. Here are three tailored explanations of how large language models learn and generate text. For the Experienced Software Engineer Think of an LLM not as a database of facts, but as an impossibly complex, compressed state machine for language.
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Solar Mini 4893 words
For the Experienced Software Engineer From a systems architecture perspective, the skepticism that "predicting the next word" yields intelligence is understandable, but it stems from viewing the model through a deterministic, code-based lens rather than a probabilistic, distributed-systems lens.
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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

DeepSeek V3.11,333 words
Of course. This is an excellent exercise. The proposed architecture has several critical flaws that would lead to data loss, poor performance, and a broken user experience. Here is a detailed breakdown of the failure modes, race conditions, and bottlenecks, along with specific solutions and their trade-offs.
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Solar Mini 41,165 words
Here’s a systematic breakdown of the architectural weaknesses, failure modes, and scaling bottlenecks in your design, along with specific solutions and their trade-offs. Real-Time Synchronization & WebSocket Affinity Issue: Round-robin load balancing is stateless, but WebSockets are stateful and long-lived.
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Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

DeepSeek V3.11,374 words
Of course. Here is a comprehensive, cutting-edge 3-month longevity plan designed for a dedicated biohacker. This plan is aggressive, detailed, and incorporates the latest principles from longevity science, performance optimization, and systems biology. Disclaimer: This is an advanced protocol.
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Solar Mini 41,388 words
🧬 3-Month Biohacker Longevity & Performance Optimization Plan ⚠️ Important Disclaimer: This protocol is for informational and educational purposes. It is not medical advice. Always consult a licensed healthcare provider before starting new supplements, fasting regimens, intense exercise, or neurofeedback protocols.
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Our Verdict
DeepSeek V3.1
DeepSeek V3.1
Solar Mini 4
Solar Mini 4

Not enough votes to call it. On the specs, nothing separates them.

Solar Mini 4 costs 4.0x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V3.1
Input
$0.20
Output
$0.80
Solar Mini 4
Input
$0.05
4.0× cheaper
Output
$0.20
4.0× cheaper

Solar Mini 4 is cheaper on both: 4.0× input, 4.0× output.

Where to run it

9 hosts, cheapest first

DeepSeek V3.18 hosts
HostInOutContextUptime
DDeepInfrafp4$0.25 in·$0.95 out·164k·100% upNNovitafp8$0.27 in·$1.00 out·131k·100% upSSiliconFlowfp8$0.27 in·$1.00 out·164k·98.6% upAAtlasCloudfp8$0.30 in·$0.95 out·131k·99.6% upCCoreWeavefp8$0.55 in·$1.65 out·161k·99.7% upMMara$0.60 in·$1.70 out·131k·95.4% up
2 more hostsFewer hosts
SSambaNovafp8$0.65 in·$1.50 out·131k·96.5% upGoogle Vertex AIdegraded$0.60 in·$1.70 out·164k·0% up
Solar Mini 41 host
HostInOutContextUptime
UUpstage$0.05 in·$0.20 out·524k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

DeepSeek V3.1 is developed by DeepSeek while Solar Mini 4 is developed by Upstage. DeepSeek V3.1 has a 164K token context window vs Solar Mini 4's 524K. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V3.1 and Solar Mini 4 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 19 challenges so you can judge which fits your needs best.

DeepSeek V3.1 costs $0.2/M input tokens and Solar Mini 4 costs $0.05/M input tokens. Solar Mini 4 is $0.15/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of DeepSeek V3.1 and Solar Mini 4 across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

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