--- title: "Is Command R (08-2024) still undominated? · Undominated.ai" canonical: https://undominated.ai/check/cohere__command-r-08-2024/ description: "Command R (08-2024): whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Sep 23, 2026. Unrated stays unrated." --- # Is Command R (08-2024) still undominated? · Undominated.ai > Command R (08-2024): whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Sep 23, 2026. Unrated stays unrated. # Is Command R (08-2024) a good deal? Whether anything in this catalogue beats Command R (08-2024) on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion. 13 undominated of 136 · Sep 23, 2026 [1 · Choose & set workload](#check-input)[2 · Read verdict](#check-verdict)[3 · Inspect alternatives](#check-options) As of Sep 23, 2026, Command R (08-2024) is dominated for Balanced on LMArena. GLM 5.3 Flash scores 284.6 higher and costs 10% less, with a covering envelope. 13 of 136 rated, priced standard models are undominated. [Inspect model evidence](/models/cohere__command-r-08-2024/) [Compare differences & requirements](/compare/?models=cohere%2Fcommand-r-08-2024%2Cz-ai%2Fglm-5.3-flash) Current model Command R (08-2024) Balanced 3 tokens in per 1 out Balanced Summarise Chat Code gen Agentic Monthly spend (USD) Used only to say how many months a named switching cost would take to earn back. Leave blank to skip. Switching cost (USD) GLM 5.3 Flash is both better and cheaper than Command R (08-2024): 284.6 points higher on LMArena and 10% less per million tokens, $0.02 cheaper at this mix. [Command R (08-2024)](https://undominated.ai/models/cohere__command-r-08-2024/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1187.3 Effective $/M · Balanced · lower is better ** $0.262/M [GLM 5.3 Flash](https://undominated.ai/models/z-ai__glm-5.3-flash/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1471.9 Effective $/M · Balanced · lower is better ** $0.237/M Command R (08-2024) takes text, returns up to 4,000 tokens from a 128,000-token context, and is listed by 1 seller. Compared against 136 rated, priced models on this lens: 23 models dominate it and give up nothing, 3 more dominate it but give something up. Command R (08-2024) scores 1187.3 at $0.26 per million tokens for this mix. ## Envelope-safe replacements Each row scores at least as high, costs no more, and covers this model’s context, output, modalities, tools, and reasoning. A cheaper narrower model is not listed here. | Model | LMArena | Effective $/M | You save | | --- | --- | --- | --- | | [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) | 1471.9 +284.6 | $0.237/M | 10% | | [Gemma 4 31B](/models/google__gemma-4-31b-it/) | 1441.7 +254.4 | $0.153/M | 42% | | [Hy3](/models/tencent__hy3/) | 1440.6 +253.3 | $0.144/M | 45% | | [Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) | 1434.5 +247.2 | $0.143/M | 46% | | [DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) | 1431.8 +244.5 | $0.103/M | 61% | | [MiMo-V2.5](/models/xiaomi__mimo-v2.5/) | 1427.4 +240.1 | $0.175/M | 33% | | [Qwen3 235B A22B Instruct 2507](/models/qwen__qwen3-235b-a22b-2507/) | 1419.8 +232.5 | $0.153/M | 42% | | [Step 3.5 Flash](/models/stepfun__step-3.5-flash/) | 1403.7 +216.4 | $0.150/M | 43% | | [Qwen3.5-Flash](/models/qwen__qwen3.5-flash-02-23/) | 1397.7 +210.4 | $0.114/M | 57% | | [Qwen3 30B A3B Instruct 2507](/models/qwen__qwen3-30b-a3b-instruct-2507/) | 1383.6 +196.3 | $0.084/M | 68% | | [Solar Pro 4](/models/upstage__solar-pro4/) | 1377.3 +190.0 | $0.158/M | 40% | | [gpt-oss-120b](/models/openai__gpt-oss-120b/) | 1365.9 +178.6 | $0.262/M | 0% | | [Gemma 3 27B](/models/google__gemma-3-27b-it/) | 1357.7 +170.4 | $0.172/M | 34% | | [GLM 4.7 Flash](/models/z-ai__glm-4.7-flash/) | 1352.2 +164.9 | $0.145/M | 45% | | [Qwen3 32B](/models/qwen__qwen3-32b/) | 1340.0 +152.7 | $0.130/M | 50% | | [Gemma 3 12B](/models/google__gemma-3-12b-it/) | 1334.2 +146.9 | $0.075/M | 71% | | [GPT-5 Nano](/models/openai__gpt-5-nano/) | 1319.7 +132.4 | $0.138/M | 48% | | [Qwen3 30B A3B](/models/qwen__qwen3-30b-a3b/) | 1317.0 +129.7 | $0.215/M | 18% | | [Granite 4.2 8B](/models/ibm-granite__granite-4.2-8b/) | 1316.8 +129.5 | $0.107/M | 59% | | [gpt-oss-20b](/models/openai__gpt-oss-20b/) | 1287.3 +100.0 | $0.036/M | 86% | | [GPT-4o-mini (2024-07-18)](/models/openai__gpt-4o-mini-2024-07-18/) | 1286.3 +99.0 | $0.262/M | 0% | | [GPT-4.1 Nano](/models/openai__gpt-4.1-nano/) | 1284.7 +97.4 | $0.175/M | 33% | | [Llama 3.3 70B Instruct](/models/meta-llama__llama-3.3-70b-instruct/) | 1274.0 +86.7 | $0.155/M | 41% | ## Higher score, lower price, named losses Not a drop-in. The loss is why these are not a recommendation. | Model | LMArena | Effective $/M | You give up | | --- | --- | --- | --- | | [Gemma 3 4B](/models/google__gemma-3-4b-it/) | 1290.7 | $0.063/M | tools | | [Mistral Small 3](/models/mistralai__mistral-small-24b-instruct-2501/) | 1233.5 | $0.058/M | context, tools | | [Phi 4](/models/microsoft__phi-4/) | 1216.6 | $0.088/M | context, tools | 136 rated, priced standard models. Chartreuse is the frontier. Cobalt is the model you named, when it is not on the staircase. Copy watch URL [Open the frontier](/frontier/) The link keeps the model and mix, using the current catalogue. Monthly spend and switching cost stay in this browser tab and are left out of the link. ## Saved decision references Save the model, workload, catalogue date and capability-preservation rule in this browser. Spend, switching cost and bill contents are not saved. No account or notifications. Constraint: replacements must preserve the model’s capabilities; any losses remain named trade-offs. Historical decisions cannot be fully replayed from saved references: past prices, scores and capability evidence are not stored. Save this reference ## Continue your investigation - [Build a shortlist](/compare/) - [Inspect alternatives](/alternatives/) - [Check billing conditions](/traps/) - [Read model evidence](/models/)