# Enso — Hanzo-measured benchmarks

> The Enso family measured on one harness: three tiers that separate cleanly on quality, accuracy plotted against what it costs, and a reported-versus-measured comparison across 130+ models. Every score keeps its source.

[Models](https://hanzo.ai/models)/Enso

Hanzo-measured · GPQA-Diamond, one common harness

# Enso, measured

Enso is our frontier family, and the router that picks among 500+ models when you ask for auto. A vendor’s published score and your own are rarely the same number, so everything below was run here, on one harness, ours and theirs alike — and every figure still says which it is.

[Start using Enso](https://console.hanzo.ai)[The Enso product](https://hanzo.ai/enso)

## Three tiers that stay in order

Ultra above Pro above Flash, on quality and on price, and it stays that way when the underlying models change. A tier is a contract about cost and quality, not another name for one model. GPQA is measured here; the price band is what you are billed, input then output, per million tokens.

### Enso Ultra

Flagship

enso-ultra98%GPQA$5 → $25

Top-tier accuracy for the hardest, highest-stakes work — the field’s best 98.0% GPQA-Diamond at a fraction of what the priciest frontier models charge to score lower.

### Enso Pro

Default

enso96%GPQA$4 → $20

The production default: strong 96.0% GPQA-Diamond for coding, review, research, and responsive agents — priced for everyday scale. 1M context.

### Enso Flash

enso-flash92.9%GPQA$2 → $4

Fast answers at production scale — for chat, extraction, classification, and simple steps at a strong 92.9% GPQA-Diamond. Lowest cost per request.

## Accuracy at cost

Accuracy alone picks the most expensive model every time, so both axes are here at once. Top-left is where you want to be: right answers, cheap. Each dot carries its lab’s mark; a solid ring means we measured it, a dashed ring means the vendor reported it. Every dot is labelled, and hovering gives the exact figure.

enso-ultra 98.0%enso — 96.0% GPQA-Diamond · $20/MTokenso 96.0%enso-flash — 92.9% GPQA-Diamond · $4/MTokenso-flash 92.9%enso-ultra 98.0%enso — 96.0% GPQA-Diamond · $20/MTokenso 96.0%enso-flash — 92.9% GPQA-Diamond · $4/MTokenso-flash 92.9%

## Reported vs. what we measured

Pick a benchmark, then filter by provenance. Enso numbers are all Hanzo-measured; the rest of the field shows a mix of what we measured and what vendors report. 134 models, 12 benchmarks.

GPQA-Diamond

Humanity's Last Exam

MMLU-Pro

LiveCodeBench v6

LiveCodeBench Pro

SWE-Bench Pro

Terminal-Bench 2.1

SciCode

CharXiv Reasoning

MRCR v2

All

Hanzo-measured

Vendor-reported

Model

GPQA-Diamond

Source

$/MTok out

enso-ultraenso

98

Hanzo

$25

ensoenso

96

Hanzo

$20

gemini-3.1-pro

94.3

Provider-reported

—

gpt-5.5

93.6

Provider-reported

$8.25

gpt-5.2-pro

93.2

LLM Stats

$139

enso-flashenso

92.9

Hanzo

$4

gpt-5.6-sol

92.9

Hanzo

$25

gpt-5.2

91.7

Vals AI

$11.55

gpt-5.4

91.7

Vals AI

$12.5

kimi-k2.6

89.1

Vals AI

$2.71

qwen3.5-397b-a17b

88.4

LLM Stats

$2.04

gpt-5.6-terra

87.9

Hanzo

$12.5

opus-4.8

87.4

Hanzo

$21

nemotron-3-ultra-550b-a55b

86.1

Vals AI

$1.54

opus-4.5

85.9

Vals AI

—

gpt-5

85.6

Vals AI

$8.25

glm-5.2

85.6

Vals AI

$3.73

sonnet-4.6

85.6

Vals AI

—

glm-5.1

84.5

Vals AI

$3.63

gemma-4-31b

84.3

LLM Stats

$0.44

o3

84.1

Vals AI

$6.8

kimi-k2.5

84.1

Vals AI

$1.69

glm-5

83.3

Vals AI

$2.07

gpt-5.6-luna

82.8

Hanzo

$5

nemotron-3-super

82.7

LLM Stats

$0.4

minimax-m2.5

82.1

Vals AI

$0.76

sonnet-4.5

81.6

Vals AI

—

mimo-v2.5

81.6

Vals AI

$0.24

fable-5

81.3

Hanzo

$42

deepseek-v3.2

80.3

Vals AI

—

gpt-5-mini

80.3

Vals AI

$1.65

deepseek-v3.2-exp

79.9

DeepSeek-V3.2-Exp model …

—

gpt-oss-120b

78.5

Vals AI

$0.41

deepseek-4-flash

76.9

Hanzo

$0.2

opus-4.1

76.3

Vals AI

$63

o3-mini

75.5

Vals AI

$3.74

deepseek-v4-pro

75.3

Hanzo

$2.5

o1

73.2

Vals AI

$51

haiku-4.5

72.2

Vals AI

—

deepseek-r1

71.5

DeepSeek-R1 model card (…

—

Vendors report on their own harness; Hanzo measures everyone on one. Where both exist the gap is the harness talking — not the model getting better. Hover a source for its exact provenance.

## Build on the tier that fits

Start on Flash. Move a request up to Pro or Ultra when it earns the cost, by changing the model id and nothing else.

[Get API access](https://console.hanzo.ai)[Explore Zen (open weights)](https://hanzo.ai/models/zen)