---
title: "Compare alternatives to Command R (08-2024) · Undominated.ai"
canonical: https://undominated.ai/alternatives/cohere__command-r-08-2024/
description: "35 alternatives score at least as high as Command R (08-2024) and cost no more under at least one listed workload. 31 preserve recorded capabilities; 4 have named trade-offs."
---

# Compare alternatives to Command R (08-2024) · Undominated.ai

> 35 alternatives score at least as high as Command R (08-2024) and cost no more under at least one listed workload. 31 preserve recorded capabilities; 4 have named trade-offs.

# Alternatives to Command R (08-2024)

Cohere · LMArena 1187.3 · $0.263/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.

## 31 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, **35** score at least as high as Command R (08-2024) and cost no more under at least one listed workload, with at least one of those dimensions improved. **31** match or beat its recorded context, maximum output, input modes, tool use and extended reasoning. **4** 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 | Command R (08-2024) $/M | Recorded capabilities preserved | Recorded capability losses |
| --- | --- | --- | --- |
| Balanced | $0.263 | 25 | 3 |
| Summarise | $0.173 | 28 | 3 |
| Chat | $0.330 | 27 | 3 |
| Code gen | $0.420 | 27 | 4 |
| Agentic | $0.218 | 30 | 3 |

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 | 1187.3 |
| --- | --- |
| Context window | 128K |
| Max output | 4K |
| Input modes | text |
| Tool use | yes |
| Extended reasoning | no |

Preserving recorded capabilities requires matching or beating these fields. [Full record for Command R (08-2024)](/models/cohere__command-r-08-2024/), or [check Command R (08-2024) against the whole catalogue](/check/cohere__command-r-08-2024/).

## Recorded capabilities preserved 31

Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats Command R (08-2024) on recorded context, maximum output, input modes, tool use and extended reasoning.

| # | Model | Intelligence | $/M | Holds under |
| --- | --- | --- | --- | --- |
| 1 | [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) Z.ai | 1469.6 +282.3 | $0.238 | Balanced −10% Summarise −23% Chat −23% Code gen −17% Agentic −40% |
| 2 | [DeepSeek V4.1 Flash](/models/deepseek__deepseek-v4.1-flash/) DeepSeek | 1462.5 +275.2 | $0.182 | Balanced −31% Summarise −61% Chat −25% Code gen −14% Agentic −52% |
| 3 | [MiMo-V2.6-Flash](/models/xiaomi__mimo-v2.6-flash/) Xiaomi | 1456.4 +269.1 | $0.175 | Balanced −33% Summarise −37% Chat −53% Code gen −49% Agentic −64% |
| 4 | [Gemma 4 31B](/models/google__gemma-4-31b-it/) Google | 1443.4 +256.1 | $0.205 | Balanced −22% Summarise −11% Chat −26% Code gen −30% Agentic −18% |
| 5 | [Hy3](/models/tencent__hy3/) Tencent | 1440.7 +253.4 | $0.231 | Balanced −12% Summarise −28% Chat −21% Code gen −14% Agentic −39% |
| 6 | [Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) Google | 1433.9 +246.6 | $0.127 | Balanced −52% Summarise −60% Chat −55% Code gen −51% Agentic −63% |
| 7 | [DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) DeepSeek | 1432.1 +244.8 | $0.113 | Balanced −57% Summarise −57% Chat −68% Code gen −67% Agentic −72% |
| 8 | [MiMo-V2.5](/models/xiaomi__mimo-v2.5/) Xiaomi | 1427.5 +240.2 | $0.175 | Balanced −33% Summarise −37% Chat −53% Code gen −49% Agentic −64% |
| 9 | [Qwen3 235B A22B Instruct 2507](/models/qwen__qwen3-235b-a22b-2507/) Qwen | 1419.3 +232 | $0.205 | Balanced −22% Summarise −34% Chat −17% Code gen −13% Agentic −27% |
| 10 | [Step 3.5 Flash](/models/stepfun__step-3.5-flash/) StepFun | 1403 +215.7 | $0.150 | Balanced −43% Summarise −36% Chat −45% Code gen −48% Agentic −40% |
| 11 | [Qwen3.5-Flash](/models/qwen__qwen3.5-flash-02-23/) Qwen | 1397 +209.7 | $0.114 | Balanced −57% Summarise −57% Chat −57% Code gen −57% Agentic −57% |
| 12 | [GPT-6 Luna](/models/openai__gpt-6-luna/) OpenAI | 1391.5 +204.2 | $0.200 | Balanced −24% Summarise −45% Chat −29% Code gen −21% Agentic −51% |
| 13 | [Qwen3 30B A3B Instruct 2507](/models/qwen__qwen3-30b-a3b-instruct-2507/) Qwen | 1384.1 +196.8 | $0.143 | Balanced −46% Summarise −42% Chat −47% Code gen −49% Agentic −44% |
| 14 | [gpt-oss-120b](/models/openai__gpt-oss-120b/) OpenAI | 1365.4 +178.1 | $0.065 | Balanced −75% Summarise −79% Chat −74% Code gen −73% Agentic −77% |
| 15 | [Gemma 3 27B](/models/google__gemma-3-27b-it/) Google | 1357.8 +170.5 | $0.100 | Balanced −62% Summarise −51% Chat −66% Code gen −70% Agentic −58% |
| 16 | [GLM 4.7 Flash](/models/z-ai__glm-4.7-flash/) Z.ai | 1350.9 +163.6 | $0.145 | Balanced −45% Summarise −64% Chat −45% Code gen −38% Agentic −63% |
| 17 | [Qwen3 32B](/models/qwen__qwen3-32b/) Qwen | 1340.1 +152.8 | $0.130 | Balanced −50% Summarise −48% Chat −52% Code gen −52% Agentic −49% |
| 18 | [Gemma 3 12B](/models/google__gemma-3-12b-it/) Google | 1334.2 +146.9 | $0.075 | Balanced −71% Summarise −68% Chat −73% Code gen −74% Agentic −70% |
| 19 | [GPT-5 Nano](/models/openai__gpt-5-nano/) OpenAI | 1320 +132.7 | $0.138 | Balanced −48% Summarise −68% Chat −47% Code gen −39% Agentic −65% |
| 20 | [Granite 4.2 8B](/models/ibm-granite__granite-4.2-8b/) IBM | 1317.8 +130.5 | $0.108 | Balanced −59% Summarise −67% Chat −63% Code gen −59% Agentic −72% |
| 21 | [Qwen3 30B A3B](/models/qwen__qwen3-30b-a3b/) Qwen | 1316.6 +129.3 | $0.215 | Balanced −18% Summarise −19% Chat −18% Code gen −17% Agentic −19% |
| 22 | [gpt-oss-20b](/models/openai__gpt-oss-20b/) OpenAI | 1287.7 +100.4 | $0.036 | Balanced −86% Summarise −89% Chat −87% Code gen −86% Agentic −89% |
| 23 | [GPT-4.1 Nano](/models/openai__gpt-4.1-nano/) OpenAI | 1284.8 +97.5 | $0.175 | Balanced −33% Summarise −46% Chat −40% Code gen −35% Agentic −54% |
| 24 | [GPT-4o-mini (2024-07-18)](/models/openai__gpt-4o-mini-2024-07-18/) OpenAI | 1286.4 +99.1 | $0.263 | Balanced same price Summarise −12% Chat −7% Code gen −1% Agentic −21% |
| 25 | [Llama 3.3 70B Instruct](/models/meta-llama__llama-3.3-70b-instruct/) Meta | 1274.1 +86.8 | $0.201 | Balanced −23% Summarise −14% Chat −27% Code gen −30% Agentic −20% |
| 26 | [DeepSeek V3.2](/models/deepseek__deepseek-v3.2/) DeepSeek | 1424.5 +237.2 | $0.269 chat | Chat −18% Code gen −23% Agentic −8% |
| 27 | [DeepSeek V3.2 Exp](/models/deepseek__deepseek-v3.2-exp/) DeepSeek | 1422.4 +235.1 | $0.326 chat | Chat −1% Code gen −16% |
| 28 | [Qwen3 Next 80B A3B Instruct](/models/qwen__qwen3-next-80b-a3b-instruct/) Qwen | 1417.3 +230 | $0.132 summarise | Summarise −24% Agentic −8% |
| 29 | [Qwen3.5-35B-A3B](/models/qwen__qwen3.5-35b-a3b/) Qwen | 1394.4 +207.1 | $0.157 summarise | Summarise −9% Agentic −1% |
| 30 | [GLM 4.5 Air](/models/z-ai__glm-4.5-air/) Z.ai | 1383.9 +196.6 | $0.136 summarise | Summarise −21% Agentic −19% |
| 31 | [Mercury 2](/models/inception__mercury-2/) Inception | 1355.2 +167.9 | $0.191 agentic | Agentic −12% |

## Alternatives with recorded capability losses 4

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 |
| --- | --- | --- | --- | --- |
| [Gemma 3 4B](/models/google__gemma-3-4b-it/) Google | 1290.8 +103.5 | $0.063 | Balanced −76% Summarise −70% Chat −79% Code gen −81% Agentic −74% | no tool use |
| [Mistral Small 3](/models/mistralai__mistral-small-24b-instruct-2501/) Mistral | 1233.6 +46.3 | $0.058 | Balanced −78% Summarise −70% Chat −81% Code gen −84% Agentic −75% | 128K → 33K context no tool use |
| [Phi 4](/models/microsoft__phi-4/) Microsoft | 1216.7 +29.4 | $0.088 | Balanced −67% Summarise −57% Chat −70% Code gen −73% Agentic −63% | 128K → 16K context no tool use |
| [Qwen2.5 72B Instruct](/models/qwen__qwen-2.5-72b-instruct/) Qwen | 1269 +81.7 | $0.384 code gen | Code gen −9% | 128K → 33K context |

## 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/)