Model value rankings.
A focused view of which frontier models deliver the strongest benchmark signal for the money, balancing quality, blended token price, latency, and output speed.
Ranked models
97
Require quality and price matches
Best value
Gemini 4 Argon
86 value index
Lowest price
$0.100
Hy3
Fastest TTFT
0.45s
Muse Spark Open
Value formula
Quality first, then cost and speed.
The value index normalizes each available signal before blending benchmark quality, blended price, time to first token, and output speed. It avoids raw score-per-dollar math, which can wildly overstate very cheap models.
Best models for the money
Higher value index is better. Missing source rows are omitted from the value ranking rather than treated as zero.
Top 30 of 97
| Rank | Model | Index | Price | Latency | Speed | Quality | Sources |
|---|---|---|---|---|---|---|---|
| #1 | 86value index | $4.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 86quality signal | ArenaArtificial Analysis | |
| #2 | 83value index | $10.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 92quality signal | ArenaArtificial Analysis | |
| #3 | 80value index | $4.00blended / 1M tokens | 1.73stime to first token | 56 tok/soutput speed | 88quality signal | ArenaArtificial Analysis | |
| #4 | 79value index | $3.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 73quality signal | ArenaArtificial Analysis | |
| #5 | 78value index | $8.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 80quality signal | ArenaArtificial Analysis | |
| #6 | 78value index | $10.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 84quality signal | ArenaArtificial Analysis | |
| #7 | 77value index | $8.00blended / 1M tokens | 7.20stime to first token | 79 tok/soutput speed | 90quality signal | ArenaArtificial Analysis | |
| #8 | 76value index | $4.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 71quality signal | ArenaArtificial Analysis | |
| #9 | 76value index | $4.00blended / 1M tokens | 0.73stime to first token | 106 tok/soutput speed | 77quality signal | ArenaArtificial Analysis | |
| #10 | 75value index | $0.525blended / 1M tokens | 0.64stime to first token | 360 tok/soutput speed | 55quality signal | ArenaArtificial Analysis | |
| #11 | 74value index | $2.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 63quality signal | ArenaArtificial Analysis | |
| #12 | 73value index | $2.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 62quality signal | ArenaArtificial Analysis | |
| #13 | 73value index | $2.00blended / 1M tokens | 22.7stime to first token | 263 tok/soutput speed | 67quality signal | ArenaArtificial Analysis | |
| #14 | 71value index | $1.50blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 58quality signal | ArenaArtificial Analysis | |
| #15 | 71value index | $3.38blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 61quality signal | ArenaArtificial Analysis | |
| #16 | 68value index | $6.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 62quality signal | ArenaArtificial Analysis | |
| #17 | 68value index | $1.50blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 54quality signal | ArenaArtificial Analysis | |
| #18 | 68value index | $3.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 56quality signal | ArenaArtificial Analysis | |
| #19 | 68value index | $0.230blended / 1M tokens | 1.22stime to first token | 53 tok/soutput speed | 58quality signal | ArenaArtificial Analysis | |
| #20 | 68value index | $20.00blended / 1M tokens | 1.99stime to first token | 57 tok/soutput speed | 93quality signal | ArenaArtificial Analysis | |
| #21 | 67value index | $3.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 55quality signal | ArenaArtificial Analysis | |
| #22 | 67value index | $3.00blended / 1M tokens | 2.87stime to first token | 73 tok/soutput speed | 60quality signal | ArenaArtificial Analysis | |
| #23 | 67value index | $0.237blended / 1M tokens | 2.11stime to first token | 84 tok/soutput speed | 54quality signal | ArenaArtificial Analysis | |
| #24 | 66value index | $2.15blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 52quality signal | ArenaArtificial Analysis | |
| #25 | 66value index | $11.25blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 68quality signal | ArenaArtificial Analysis | |
| #26 | 66value index | $2.15blended / 1M tokens | 2.50stime to first token | 89 tok/soutput speed | 56quality signal | ArenaArtificial Analysis | |
| #27 | 65value index | $4.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 54quality signal | ArenaArtificial Analysis | |
| #28 | 65value index | $10.00blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 64quality signal | ArenaArtificial Analysis | |
| #29 | 65value index | $0.175blended / 1M tokens | Not listedtime to first token | Not listedoutput speed | 46quality signal | ArenaArtificial Analysis | |
| #30 | 65value index | $8.00blended / 1M tokens | 34.4stime to first token | 173 tok/soutput speed | 74quality signal | ArenaArtificial Analysis |
Benchmark guide
What the scores mean.
A quick reading key for interpreting the value rankings without over-weighting one benchmark, price point, or speed measurement.
What does the value index measure?
The value index blends normalized benchmark quality, blended token price, latency, and output speed. It is designed to answer which models deliver strong public performance for the money, not which model is best in every task.
Why not use raw score divided by price?
Raw score-per-dollar can exaggerate extremely cheap models and make small benchmark differences look larger than they are. Normalizing each signal keeps the ranking easier to compare across quality, price, and speed.
Why are some models missing from value rankings?
A model needs both a benchmark quality signal and a confident price match to be ranked. If the price or benchmark source is missing, the model is omitted rather than treated as free or zero quality.
How should I use price, latency, and speed together?
Price estimates cost, latency measures time to first token, and speed measures output throughput after generation begins. The best model for a product depends on which constraint matters most in the actual workflow.
