Is GPT-4.1 a good deal?

Whether anything in this catalogue beats GPT-4.1 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

As of Oct 6, 2026, GPT-4.1 is dominated for Balanced on LMArena. Gemini 3.8 Flash scores 114.0 higher and costs 14% less, with a covering envelope. 12 of 145 rated, priced standard models are undominated.

Inspect model evidence Compare differences & requirements

Current model

GPT-4.1

Balanced

3 tokens in per 1 out

Gemini 3.8 Flash is both better and cheaper than GPT-4.1: 114.0 points higher on LMArena and 14% less per million tokens, $0.500 cheaper at this mix.

GPT-4.1

LMArena Elo · higher is better

Scale starts at 1040 Elo

1383.0

Effective $/M · Balanced · lower is better

$3.50/M

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-4.1 takes image, text, file, returns up to 32,768 tokens from a 1,047,576-token context, and is listed by 3 sellers.

Compared against 145 rated, priced models on this lens: 13 models dominate it and give up nothing, 5 more dominate it but give something up. GPT-4.1 scores 1383 at $3.50 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.

ModelLMArenaEffective $/MYou save
Gemini 3.8 Flash1497.0 +114.0$3.00/M14%
Muse Spark 1.31489.9 +106.9$2.00/M43%
Gemini 3.7 Flash1487.0 +104.0$3.00/M14%
Muse Spark 1.21483.2 +100.2$2.00/M43%
Gemini 3.6 Flash1479.5 +96.5$1.50/M57%
Muse Spark 1.11479.2 +96.2$2.00/M43%
Gemini 3.5 Flash1477.7 +94.7$3.38/M4%
Gemini 2.5 Pro1457.8 +74.8$3.44/M2%
Gemini 3.5 Flash Lite1434.7 +51.7$0.850/M76%
GPT-5.6 Luna1431.0 +48.0$0.450/M87%
Gemini 2.5 Flash1417.0 +34.0$0.850/M76%
Gemini 3.1 Flash Lite Preview1415.7 +32.7$0.563/M84%
GPT-6 Luna1391.5 +8.5$0.200/M94%

Higher score, lower price, named losses

Not a drop-in. The loss is why these are not a recommendation.

ModelLMArenaEffective $/MYou give up
MiMo-V2.6-Pro1491.0$0.540/Mfile
GLM 5.31471.4$1.00/Mimage, file
GLM 5.21470.4$1.12/Mimage, file
GLM 5.3 Flash1469.6$0.238/Mfile
MiMo-V2.5-Pro1465.0$0.544/Mimage, file
Gemini 3.8 Flash1497.0 · $3.00/MGPT-4.11383.0 · $3.50/MLMArena EloEffective $/M · Balanced
145 rated, priced standard models. Chartreuse is the frontier. Cobalt is the model you named, when it is not on the staircase.

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Constraint: replacements must preserve the model’s capabilities; any losses remain named trade-offs.

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Evidence & Ask