---
title: "Compare alternatives to GPT-6 Sol · Undominated.ai"
canonical: https://undominated.ai/alternatives/openai__gpt-6-sol/
description: "71 alternatives score at least as high as GPT-6 Sol and cost no more under at least one listed workload. 2 preserve recorded capabilities; 69 have named trade-offs."
---

# Compare alternatives to GPT-6 Sol · Undominated.ai

> 71 alternatives score at least as high as GPT-6 Sol and cost no more under at least one listed workload. 2 preserve recorded capabilities; 69 have named trade-offs.

# Alternatives to GPT-6 Sol

OpenAI · LMArena 1395.4 · $4.00/M on a balanced workload · prices as of 2026-10-06

 [Compare models](https://undominated.ai/compare/) Comparison context

Choose up to three standard models in Compare.

Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls.

## 2 models are higher-scoring or cheaper, with neither dimension worse.

Of the 144 models carrying both an independent score and a published price at the same delivery mode, **71** score at least as high as GPT-6 Sol and cost no more under at least one listed workload, with at least one of those dimensions improved. **69** of them cost less; the rest match the price and have a higher score. **2** match or beat its recorded context, maximum output, input modes, tool use and extended reasoning. **69** have a recorded capability loss, named on every row.

Dominance is not a property of a model. It is a property of a model, a capability lens and a workload, and all three are named on every row. Scores are LMArena Elo, used under CC BY 4.0 from the official dataset; prices are blended per million tokens. A higher score is not a drop-in replacement.

This page is built only while a candidate improves score or price without worsening the other under a listed workload. When that comparison no longer holds, it is not generated.

## Where it holds

| Workload | GPT-6 Sol $/M | Recorded capabilities preserved | Recorded capability losses |
| --- | --- | --- | --- |
| Balanced | $4.00 | 2 | 69 |
| Summarise | $1.89 | 2 | 69 |
| Chat | $4.66 | 2 | 68 |
| Code gen | $6.66 | 2 | 68 |
| Agentic | $2.13 | 2 | 67 |

Workload mixes are defined on the [methodology page](/methodology/). Cached input is priced at the cached rate, and reasoning tokens at the worse of the reasoning and output rates.

## What you would be replacing

| Intelligence | 1395.4 |
| --- | --- |
| Context window | 1M |
| Max output | 128K |
| Input modes | file, image, text |
| Tool use | yes |
| Extended reasoning | yes |

Preserving recorded capabilities requires matching or beating these fields. [Full record for GPT-6 Sol](/models/openai__gpt-6-sol/), or [check GPT-6 Sol against the whole catalogue](/check/openai__gpt-6-sol/).

## Recorded capabilities preserved 2

Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats GPT-6 Sol on recorded context, maximum output, input modes, tool use and extended reasoning.

| # | Model | Intelligence | $/M | Holds under |
| --- | --- | --- | --- | --- |
| 1 | [GPT-6.1 Sol](/models/openai__gpt-6.1-sol/) OpenAI | 1445.6 +50.2 | $4.00 | Balanced same price Summarise −2% Chat −1% Code gen under 1% less Agentic −3% |
| 2 | [GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) OpenAI | 1431 +35.6 | $0.450 | Balanced −89% Summarise −89% Chat −88% Code gen −88% Agentic −89% |

## Alternatives with recorded capability losses 69

These improve score or price without worsening the other under the listed workloads, but reduce at least one recorded capability. Read the last column before switching.

| Model | Intelligence | $/M | Holds under | Recorded capability loss |
| --- | --- | --- | --- | --- |
| [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) Xiaomi | 1491 +95.6 | $0.540 | Balanced −87% Summarise −82% Chat −90% Code gen −90% Agentic −89% | no file input |
| [Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) Google | 1497 +101.6 | $3.00 | Balanced −25% Summarise −25% Chat −25% Code gen −25% Agentic −25% | 1.1M → 1M context 128K → 66K max output |
| [Muse Spark 1.3](/models/meta__muse-spark-1.3/) Meta | 1489.9 +94.5 | $2.00 | Balanced −50% Summarise −42% Chat −55% Code gen −55% Agentic −51% | 1.1M → 1M context |
| [Gemini 3.7 Flash](/models/google__gemini-3.7-flash/) Google | 1487 +91.6 | $3.00 | Balanced −25% Summarise −25% Chat −25% Code gen −25% Agentic −25% | 1.1M → 1M context 128K → 66K max output |
| [Muse Spark 1.2](/models/meta__muse-spark-1.2/) Meta | 1483.2 +87.8 | $2.00 | Balanced −50% Summarise −42% Chat −55% Code gen −55% Agentic −51% | 1.1M → 1M context |
| [Gemini 3.6 Flash](/models/google__gemini-3.6-flash/) Google | 1479.5 +84.1 | $1.50 | Balanced −63% Summarise −63% Chat −63% Code gen −63% Agentic −63% | 1.1M → 1M context 128K → 66K max output |
| [Muse Spark 1.1](/models/meta__muse-spark-1.1/) Meta | 1479.2 +83.8 | $2.00 | Balanced −50% Summarise −42% Chat −55% Code gen −55% Agentic −51% | 1.1M → 1M context |
| [Gemini 3.5 Flash](/models/google__gemini-3.5-flash/) Google | 1477.7 +82.3 | $3.38 | Balanced −16% Summarise −21% Chat −12% Code gen −11% Agentic −14% | 1.1M → 1M context 128K → 66K max output |
| [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) Z.ai | 1469.6 +74.2 | $0.238 | Balanced −94% Summarise −93% Chat −95% Code gen −95% Agentic −94% | 1.1M → 1M context no file input |
| [GLM 5.3](/models/z-ai__glm-5.3/) Z.ai | 1471.4 +76 | $1.00 | Balanced −75% Summarise −82% Chat −69% Code gen −68% Agentic −69% | 1.1M → 1M context no file, image input |
| [GLM 5.2](/models/z-ai__glm-5.2/) Z.ai | 1470.4 +75 | $1.12 | Balanced −72% Summarise −78% Chat −67% Code gen −66% Agentic −67% | 1.1M → 1M context no file, image input |
| [Kimi K3](/models/moonshotai__kimi-k3/) Moonshot AI | 1475.9 +80.5 | $3.76 | Balanced −6% Summarise −35% | 1.1M → 1M context no file input |
| [MiMo-V2.5-Pro](/models/xiaomi__mimo-v2.5-pro/) Xiaomi | 1465 +69.6 | $0.544 | Balanced −86% Summarise −82% Chat −90% Code gen −90% Agentic −89% | no file, image input |
| [DeepSeek V4.1 Flash](/models/deepseek__deepseek-v4.1-flash/) DeepSeek | 1462.5 +67.1 | $0.182 | Balanced −95% Summarise −96% Chat −95% Code gen −95% Agentic −95% | 1.1M → 1M context no file input |
| [GLM 5.1](/models/z-ai__glm-5.1/) Z.ai | 1461.5 +66.1 | $1.83 | Balanced −54% Summarise −39% Chat −56% Code gen −60% Agentic −43% | 1.1M → 205K context no file, image input |
| [Claude Sonnet 5.5](/models/anthropic__claude-sonnet-5.5/) Anthropic | 1466.6 +71.2 | $4.00 | Balanced same price Summarise same price Chat same price Code gen same price Agentic same price | 1.1M → 1M context |
| [MiMo-V2.6-Flash](/models/xiaomi__mimo-v2.6-flash/) Xiaomi | 1456.4 +61 | $0.175 | Balanced −96% Summarise −94% Chat −97% Code gen −97% Agentic −96% | no file input |
| [Qwen3.7 Plus](/models/qwen__qwen3.7-plus/) Qwen | 1454.6 +59.2 | $0.560 | Balanced −86% Summarise −84% Chat −87% Code gen −87% Agentic −85% | 1.1M → 1M context no file input |
| [Kimi K2.6](/models/moonshotai__kimi-k2.6/) Moonshot AI | 1455.5 +60.1 | $0.961 | Balanced −76% Summarise −76% Chat −75% Code gen −76% Agentic −74% | 1.1M → 262K context no file input |
| [Gemini 2.5 Pro](/models/google__gemini-2.5-pro/) Google | 1457.8 +62.4 | $3.44 | Balanced −14% Summarise −28% Chat −5% Code gen −4% Agentic −11% | 1.1M → 1M context 128K → 66K max output |
| [GLM 5](/models/z-ai__glm-5/) Z.ai | 1446.3 +50.9 | $1.09 | Balanced −73% Summarise −67% Chat −75% Code gen −76% Agentic −72% | 1.1M → 205K context no file, image input |
| [Gemma 4 31B](/models/google__gemma-4-31b-it/) Google | 1443.4 +48 | $0.205 | Balanced −95% Summarise −92% Chat −95% Code gen −96% Agentic −92% | 1.1M → 262K context 128K → 16K max output no file input |
| [Kimi K2.5](/models/moonshotai__kimi-k2.5/) Moonshot AI | 1445.2 +49.8 | $1.20 | Balanced −70% Summarise −69% Chat −70% Code gen −70% Agentic −69% | 1.1M → 262K context no file input |
| [DeepSeek V4 Pro 0423](/models/deepseek__deepseek-v4-pro/) DeepSeek | 1445.2 +49.8 | $1.21 | Balanced −70% Summarise −73% Chat −67% Code gen −66% Agentic −67% | 1.1M → 1M context no file, image input |
| [Qwen3.6 Max Preview](/models/qwen__qwen3.6-max-preview/) Qwen | 1446.8 +51.4 | $2.31 | Balanced −42% Summarise −32% Chat −34% Code gen −38% Agentic −16% | 1.1M → 262K context 128K → 66K max output no file, image input |
| [Grok 4.5](/models/x-ai__grok-4.5/) xAI | 1448.1 +52.7 | $3.00 | Balanced −25% Summarise −9% Chat −34% Code gen −36% Agentic −25% | 1.1M → 500K context |
| [Hy3](/models/tencent__hy3/) Tencent | 1440.7 +45.3 | $0.231 | Balanced −94% Summarise −93% Chat −94% Code gen −95% Agentic −94% | 1.1M → 262K context no file, image input |
| [Qwen3.8 27B](/models/qwen__qwen3.8-27b/) Qwen | 1440.7 +45.3 | $0.562 | Balanced −86% Summarise −90% Chat −82% Code gen −82% Agentic −83% | 1.1M → 1M context no file input |
| [GLM 4.6](/models/z-ai__glm-4.6/) Z.ai | 1439.9 +44.5 | $0.760 | Balanced −81% Summarise −79% Chat −82% Code gen −82% Agentic −80% | 1.1M → 205K context 128K → 16K max output no file, image input |
| [Inkling](/models/thinkingmachines__inkling/) Thinking Machines | 1441.8 +46.4 | $1.73 | Balanced −57% Summarise −53% Chat −58% Code gen −59% Agentic −56% | 1.1M → 524K context no file input |
| [Qwen3.5 397B A17B](/models/qwen__qwen3.5-397b-a17b/) Qwen | 1438 +42.6 | $0.878 | Balanced −78% Summarise −74% Chat −75% Code gen −77% Agentic −68% | 1.1M → 262K context 128K → 82K max output no file input |
| [Qwen3.6 Plus](/models/qwen__qwen3.6-plus/) Qwen | 1436.7 +41.3 | $0.731 | Balanced −82% Summarise −78% Chat −79% Code gen −80% Agentic −73% | 1.1M → 1M context 128K → 66K max output no file input |
| [GLM 4.7](/models/z-ai__glm-4.7/) Z.ai | 1435.5 +40.1 | $0.738 | Balanced −82% Summarise −80% Chat −82% Code gen −82% Agentic −81% | 1.1M → 205K context no file, image input |
| [Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) Google | 1433.9 +38.5 | $0.127 | Balanced −97% Summarise −96% Chat −97% Code gen −97% Agentic −96% | 1.1M → 262K context no file input |
| [Claude Sonnet 5](/models/anthropic__claude-sonnet-5/) Anthropic | 1442.9 +47.5 | $4.00 | Balanced same price Summarise same price Chat same price Code gen same price Agentic same price | 1.1M → 1M context |
| [Gemini 3.5 Flash Lite](/models/google__gemini-3.5-flash-lite/) Google | 1434.7 +39.3 | $0.850 | Balanced −79% Summarise −82% Chat −76% Code gen −76% Agentic −78% | 1.1M → 1M context 128K → 66K max output |
| [GLM 5V Turbo](/models/z-ai__glm-5v-turbo/) Z.ai | 1437.2 +41.8 | $1.90 | Balanced −53% Summarise −43% Chat −56% Code gen −58% Agentic −51% | 1.1M → 203K context no file input |
| [DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) DeepSeek | 1432.1 +36.7 | $0.113 | Balanced −97% Summarise −96% Chat −98% Code gen −98% Agentic −97% | 1.1M → 1M context no file, image input |
| [MiniMax M3](/models/minimax__minimax-m3/) MiniMax | 1432.1 +36.7 | $0.485 | Balanced −88% Summarise −86% Chat −88% Code gen −89% Agentic −87% | 1.1M → 1M context no file input |
| [GLM 4.5](/models/z-ai__glm-4.5/) Z.ai | 1430.3 +34.9 | $1.00 | Balanced −75% Summarise −71% Chat −77% Code gen −77% Agentic −74% | 1.1M → 131K context 128K → 98K max output no file, image input |
| [MiMo-V2.5](/models/xiaomi__mimo-v2.5/) Xiaomi | 1427.5 +32.1 | $0.175 | Balanced −96% Summarise −94% Chat −97% Code gen −97% Agentic −96% | no file input |
| [R1 0528](/models/deepseek__deepseek-r1-0528/) DeepSeek | 1427.9 +32.5 | $0.920 | Balanced −77% Summarise −69% Chat −75% Code gen −77% Agentic −65% | 1.1M → 164K context 128K → 33K max output no file, image input |
| [DeepSeek V3.2](/models/deepseek__deepseek-v3.2/) DeepSeek | 1424.5 +29.1 | $0.290 | Balanced −93% Summarise −88% Chat −94% Code gen −95% Agentic −91% | 1.1M → 164K context 128K → 66K max output no file, image input |
| [DeepSeek V3.2 Exp](/models/deepseek__deepseek-v3.2-exp/) DeepSeek | 1422.4 +27 | $0.305 | Balanced −92% Summarise −85% Chat −93% Code gen −95% Agentic −86% | 1.1M → 164K context no file, image input |
| [Grok 4.6](/models/x-ai__grok-4.6/) xAI | 1427.4 +32 | $3.00 | Balanced −25% Summarise −6% Chat −32% Code gen −36% Agentic −20% | 1.1M → 500K context |
| [Qwen3 VL 235B A22B Instruct](/models/qwen__qwen3-vl-235b-a22b-instruct/) Qwen | 1420.1 +24.7 | $0.370 | Balanced −91% Summarise −89% Chat −90% Code gen −91% Agentic −88% | 1.1M → 262K context 128K → 33K max output no file input no extended reasoning |
| [Qwen3 235B A22B Instruct 2507](/models/qwen__qwen3-235b-a22b-2507/) Qwen | 1419.3 +23.9 | $0.205 | Balanced −95% Summarise −94% Chat −94% Code gen −95% Agentic −93% | 1.1M → 262K context 128K → 16K max output no file, image input no extended reasoning |
| [DeepSeek V3.1](/models/deepseek__deepseek-chat-v3.1/) DeepSeek | 1419.7 +24.3 | $0.453 | Balanced −89% Summarise −84% Chat −88% Code gen −89% Agentic −82% | 1.1M → 164K context 128K → 33K max output no file, image input |
| [Qwen3 Next 80B A3B Instruct](/models/qwen__qwen3-next-80b-a3b-instruct/) Qwen | 1417.3 +21.9 | $0.268 | Balanced −93% Summarise −93% Chat −92% Code gen −92% Agentic −91% | 1.1M → 262K context no file, image input no extended reasoning |
| [DeepSeek V3.1 Terminus](/models/deepseek__deepseek-v3.1-terminus/) DeepSeek | 1417.1 +21.7 | $0.453 | Balanced −89% Summarise −84% Chat −88% Code gen −89% Agentic −82% | 1.1M → 164K context no file, image input |
| [Qwen3.5-122B-A10B](/models/qwen__qwen3.5-122b-a10b/) Qwen | 1417.1 +21.7 | $0.715 | Balanced −82% Summarise −81% Chat −79% Code gen −80% Agentic −75% | 1.1M → 262K context 128K → 66K max output no file input |
| [Gemini 2.5 Flash](/models/google__gemini-2.5-flash/) Google | 1417 +21.6 | $0.850 | Balanced −79% Summarise −82% Chat −76% Code gen −76% Agentic −78% | 1.1M → 1M context 128K → 66K max output |
| [Gemini 3.1 Flash Lite Preview](/models/google__gemini-3.1-flash-lite-preview/) Google | 1415.7 +20.3 | $0.563 | Balanced −86% Summarise −87% Chat −85% Code gen −85% Agentic −86% | 1.1M → 1M context 128K → 66K max output |
| [Mistral Medium 3.5](/models/mistralai__mistral-medium-3-5/) Mistral | 1421.2 +25.8 | $3.00 | Balanced −25% Summarise −5% Chat −16% Code gen −23% | 1.1M → 262K context |
| [GPT-5.1](/models/openai__gpt-5.1/) OpenAI | 1422.2 +26.8 | $3.44 | Balanced −14% Summarise −28% Chat −5% Code gen −4% Agentic −11% | 1.1M → 400K context |
| [Qwen3 235B A22B Thinking 2507](/models/qwen__qwen3-235b-a22b-thinking-2507/) Qwen | 1415.2 +19.8 | $0.748 | Balanced −81% Summarise −82% Chat −77% Code gen −78% Agentic −75% | 1.1M → 131K context 128K → 118K max output no file, image input |
| [Inkling Small](/models/thinkingmachines__inkling-small/) Thinking Machines | 1413.7 +18.3 | $0.638 | Balanced −84% Summarise −79% Chat −86% Code gen −87% Agentic −83% | 1.1M → 524K context no file input |
| [Qwen3 Max](/models/qwen__qwen3-max/) Qwen | 1412.4 +17 | $1.56 | Balanced −61% Summarise −60% Chat −60% Code gen −61% Agentic −59% | 1.1M → 262K context 128K → 66K max output no file, image input |
| [Qwen3.5-27B](/models/qwen__qwen3.5-27b/) Qwen | 1408.9 +13.5 | $0.536 | Balanced −87% Summarise −86% Chat −84% Code gen −85% Agentic −81% | 1.1M → 262K context 128K → 66K max output no file input |
| [GPT-5.4 Mini](/models/openai__gpt-5.4-mini/) OpenAI | 1411.4 +16 | $1.69 | Balanced −58% Summarise −61% Chat −56% Code gen −56% Agentic −57% | 1.1M → 400K context |
| [MiniMax M2.7](/models/minimax__minimax-m2.7/) MiniMax | 1404.6 tie | $0.525 | Balanced −87% Summarise −85% Chat −87% Code gen −88% Agentic −86% | 1.1M → 205K context no file, image input |
| [Step 3.5 Flash](/models/stepfun__step-3.5-flash/) StepFun | 1403 tie | $0.150 | Balanced −96% Summarise −94% Chat −96% Code gen −97% Agentic −94% | 1.1M → 262K context 128K → 66K max output no file, image input |
| [o3](/models/openai__o3/) OpenAI | 1409.9 +14.5 | $3.50 | Balanced −13% Summarise −1% Chat −15% Code gen −18% Agentic −6% | 1.1M → 200K context 128K → 100K max output |
| [GPT-5](/models/openai__gpt-5/) OpenAI | 1406.1 +10.7 | $3.44 | Balanced −14% Summarise −28% Chat −5% Code gen −4% Agentic −11% | 1.1M → 400K context |
| [Qwen3 VL 235B A22B Thinking](/models/qwen__qwen3-vl-235b-a22b-thinking/) Qwen | 1400.7 tie | $1.30 | Balanced −68% Summarise −69% Chat −61% Code gen −62% Agentic −56% | 1.1M → 131K context 128K → 33K max output no file input |
| [Qwen3.5-Flash](/models/qwen__qwen3.5-flash-02-23/) Qwen | 1397 tie | $0.114 | Balanced −97% Summarise −96% Chat −97% Code gen −97% Agentic −96% | 1.1M → 1M context 128K → 66K max output no file input |
| [Grok 4.3](/models/x-ai__grok-4.3/) xAI | 1396.7 tie | $1.56 | Balanced −61% Summarise −46% Chat −69% Code gen −71% Agentic −62% | 1.1M → 1M context |
| [Grok 4.7](/models/x-ai__grok-4.7/) xAI | 1399.9 tie | $3.00 | Balanced −25% Summarise −6% Chat −32% Code gen −36% Agentic −20% | 1.1M → 500K context |
| [Claude Haiku 4.5](/models/anthropic__claude-haiku-4.5/) Anthropic | 1396.1 tie | $2.00 | Balanced −50% Summarise −50% Chat −50% Code gen −50% Agentic −50% | 1.1M → 200K context 128K → 64K max output |

## What this compares, and what it leaves out

 - Quality is LMArena Elo, used under CC BY 4.0 from the official dataset. The 95% confidence interval on a difference between two scores is about ±10.47 points, so a gap smaller than that is marked *tie* rather than an improvement — see [significance bands](/significance/).
 - 204 further models at this delivery mode carry a price but no independent score. They are absent from the comparison in both directions — unrated is not a zero, and an unmeasured model is neither an alternative nor a worse buy.
 - Retired models are never offered as an alternative, and a model only competes against its own delivery mode: batch trades latency for price, so it is not a like-for-like swap.
 - Nothing here measures latency, throughput, rate limits or how a model behaves on your prompts. Two models with the same index score are not interchangeable.
 - Models with no higher-scoring or cheaper alternative that is no worse on the other axis are on the [value frontier](/frontier/). Models with such an alternative are [listed here](/alternatives/).

## Continue your investigation

 - [Check requirements](/check/)
- [Compare exact differences](/compare/)
- [Set a quality floor](/cheapest-at/)
- [Inspect tier boundaries](/cliffs/)