--- title: "Is GPT-4o (2024-08-06) still undominated? · Undominated.ai" canonical: https://undominated.ai/check/openai__gpt-4o-2024-08-06/ description: "GPT-4o (2024-08-06): whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Oct 6, 2026. Unrated stays unrated." --- # Is GPT-4o (2024-08-06) still undominated? · Undominated.ai > GPT-4o (2024-08-06): whether it is still undominated. If anything in this catalogue is both better and cheaper, it is named, as of Oct 6, 2026. Unrated stays unrated. # Is GPT-4o (2024-08-06) a good deal? Whether anything in this catalogue beats GPT-4o (2024-08-06) on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion. 12 undominated of 145 · Oct 6, 2026 [1 · Choose & set workload](#check-input)[2 · Read verdict](#check-verdict)[3 · Inspect alternatives](#check-options) As of Oct 6, 2026, GPT-4o (2024-08-06) is dominated for Balanced on LMArena. Gemini 3.8 Flash scores 214.5 higher and costs 31% less, with a covering envelope. 12 of 145 rated, priced standard models are undominated. [Inspect model evidence](/models/openai__gpt-4o-2024-08-06/) [Compare differences & requirements](/compare/?models=openai%2Fgpt-4o-2024-08-06%2Cgoogle%2Fgemini-3.8-flash) Current model GPT-4o (2024-08-06) 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) Gemini 3.8 Flash is both better and cheaper than GPT-4o (2024-08-06): 214.5 points higher on LMArena and 31% less per million tokens, $1.38 cheaper at this mix. [GPT-4o (2024-08-06)](https://undominated.ai/models/openai__gpt-4o-2024-08-06/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1282.5 Effective $/M · Balanced · lower is better ** $4.38/M [Gemini 3.8 Flash](https://undominated.ai/models/google__gemini-3.8-flash/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1497.0 Effective $/M · Balanced · lower is better ** $3.00/M GPT-4o (2024-08-06) takes text, image, file, returns up to 16,384 tokens from a 128,000-token context, and is listed by 2 sellers. Compared against 145 rated, priced models on this lens: 36 models dominate it and give up nothing, 5 more dominate it but give something up. GPT-4o (2024-08-06) scores 1282.5 at $4.38 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 | | --- | --- | --- | --- | | [Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) | 1497.0 +214.5 | $3.00/M | 31% | | [Muse Spark 1.3](/models/meta__muse-spark-1.3/) | 1489.9 +207.4 | $2.00/M | 54% | | [Gemini 3.7 Flash](/models/google__gemini-3.7-flash/) | 1487.0 +204.5 | $3.00/M | 31% | | [Muse Spark 1.2](/models/meta__muse-spark-1.2/) | 1483.2 +200.7 | $2.00/M | 54% | | [Gemini 3.6 Flash](/models/google__gemini-3.6-flash/) | 1479.5 +197.0 | $1.50/M | 66% | | [Muse Spark 1.1](/models/meta__muse-spark-1.1/) | 1479.2 +196.7 | $2.00/M | 54% | | [Gemini 3.5 Flash](/models/google__gemini-3.5-flash/) | 1477.7 +195.2 | $3.38/M | 23% | | [Claude Sonnet 5.5](/models/anthropic__claude-sonnet-5.5/) | 1466.6 +184.1 | $4.00/M | 9% | | [Gemini 2.5 Pro](/models/google__gemini-2.5-pro/) | 1457.8 +175.3 | $3.44/M | 21% | | [Grok 4.5](/models/x-ai__grok-4.5/) | 1448.1 +165.6 | $3.00/M | 31% | | [GPT-6.1 Sol](/models/openai__gpt-6.1-sol/) | 1445.6 +163.1 | $4.00/M | 9% | | [Claude Sonnet 5](/models/anthropic__claude-sonnet-5/) | 1442.9 +160.4 | $4.00/M | 9% | | [Gemini 3.5 Flash Lite](/models/google__gemini-3.5-flash-lite/) | 1434.7 +152.2 | $0.850/M | 81% | | [GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) | 1431.0 +148.5 | $0.450/M | 90% | | [Grok 4.6](/models/x-ai__grok-4.6/) | 1427.4 +144.9 | $3.00/M | 31% | | [GPT-5.1](/models/openai__gpt-5.1/) | 1422.2 +139.7 | $3.44/M | 21% | | [Mistral Medium 3.5](/models/mistralai__mistral-medium-3-5/) | 1421.2 +138.7 | $3.00/M | 31% | | [Gemini 2.5 Flash](/models/google__gemini-2.5-flash/) | 1417.0 +134.5 | $0.850/M | 81% | | [Gemini 3.1 Flash Lite Preview](/models/google__gemini-3.1-flash-lite-preview/) | 1415.7 +133.2 | $0.563/M | 87% | | [GPT-5.4 Mini](/models/openai__gpt-5.4-mini/) | 1411.4 +128.9 | $1.69/M | 61% | | [o3](/models/openai__o3/) | 1409.9 +127.4 | $3.50/M | 20% | | [GPT-5](/models/openai__gpt-5/) | 1406.1 +123.6 | $3.44/M | 21% | | [Grok 4.7](/models/x-ai__grok-4.7/) | 1399.9 +117.4 | $3.00/M | 31% | | [Grok 4.3](/models/x-ai__grok-4.3/) | 1396.7 +114.2 | $1.56/M | 64% | | [Claude Haiku 4.5](/models/anthropic__claude-haiku-4.5/) | 1396.1 +113.6 | $2.00/M | 54% | | [GPT-6 Sol](/models/openai__gpt-6-sol/) | 1395.4 +112.9 | $4.00/M | 9% | | [GPT-6 Luna](/models/openai__gpt-6-luna/) | 1391.5 +109.0 | $0.200/M | 95% | | [GPT-4.1](/models/openai__gpt-4.1/) | 1383.0 +100.5 | $3.50/M | 20% | | [GPT-5 Mini](/models/openai__gpt-5-mini/) | 1373.2 +90.7 | $0.688/M | 84% | | [GPT-5.4 Nano](/models/openai__gpt-5.4-nano/) | 1372.1 +89.6 | $0.463/M | 89% | | [Nova 2 Lite](/models/amazon__nova-2-lite-v1/) | 1361.8 +79.3 | $0.850/M | 81% | | [o4 Mini](/models/openai__o4-mini/) | 1353.2 +70.7 | $1.93/M | 56% | | [GPT-4.1 Mini](/models/openai__gpt-4.1-mini/) | 1340.4 +57.9 | $0.700/M | 84% | | [GPT-5 Nano](/models/openai__gpt-5-nano/) | 1320.0 +37.5 | $0.138/M | 97% | | [GPT-4o-mini (2024-07-18)](/models/openai__gpt-4o-mini-2024-07-18/) | 1286.4 +3.9 | $0.263/M | 94% | | [GPT-4.1 Nano](/models/openai__gpt-4.1-nano/) | 1284.8 +2.3 | $0.175/M | 96% | ## 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 | | --- | --- | --- | --- | | [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) | 1491.0 | $0.540/M | file | | [Kimi K3](/models/moonshotai__kimi-k3/) | 1475.9 | $3.76/M | file | | [GLM 5.3](/models/z-ai__glm-5.3/) | 1471.4 | $1.00/M | image, file | | [GLM 5.2](/models/z-ai__glm-5.2/) | 1470.4 | $1.12/M | image, file | | [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) | 1469.6 | $0.238/M | file | 145 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/)