Open models, explained.

Which open model is best for your use case, what it costs, and how it compares to closed models.

Pick by use case

One index hides the fit. Choose what you are building; the answer and the evidence follow.

Intelligence Coding Agents Long context Multilingual VisionEngineering Legal Healthcare Finance Economics Strategy

Which model is smartest overall?

60 models scored · AA Intelligence Index, with 12 measures beneath it · Artificial Analysis

Open pick

MiMiMo-V2.6-Pro46

$0.13 per task · 80% of the leader's score for 98% less

Best value

MiMiMo-V2.6-Pro46

$0.13 per task · nothing cheaper holds 70% of this score

To beat

Claude Opus 5.558

$5.98 per task · 11.3 points ahead of the open pick

Open sourceClosed

Score breakdownAA-Briefcase · GDPval-AA v2 · Terminal-Bench 4.0 · SciCode · Humanity's Last Exam · CritPt · GDP.pdf · Omniscience accuracy · Not guessing · AutomationBench-AA · AA-LCR v1.1 · GPQA Diamond

Model	Score	Cost / task	AA-Briefcase15%	GDPval-AA v210%	Terminal-Bench 4.010%	SciCode10%	Humanity's Last Exam10%	CritPt10%	GDP.pdf10%	Omniscience accuracy10%	Not guessing5%	AutomationBench-AA5%	AA-LCR v1.15%	GPQA Diamond
Claude Opus 5.5	57.6	$5.98	66.1	67.3	59.6	66.9	61.4	31.7	26.2	66.2	41.4	69.5	84.7	·
Claude Fable 5.1	53.4	$7.63	58.9	61.7	52.0	63.1	59.1	29.7	26.2	67.2	27.4	59.4	85.3	93.7
GPT-6 Astra	52.7	$3.26	53.4	52.1	59.1	56.5	54.7	31.7	31.0	62.6	48.7	68.5	80.7	96.1
Claude Opus 5	50.8	$5.86	58.7	60.4	49.0	56.4	54.9	29.1	21.6	60.9	39.2	56.6	79.3	93.2
Muse Spark 1.3	48.1	$1.60	54.9	58.7	33.3	58.8	48.7	24.9	26.6	43.6	67.1	57.9	83.0	93.5
GPT-6 Sol	47.5	$1.06	49.1	49.3	43.9	57.6	47.9	30.9	24.8	54.5	39.9	61.6	83.7	·
GPT-5.6 Sol	47.0	$1.99	49.4	54.4	39.9	57.1	49.5	32.3	27.2	59.4	7.8	60.1	84.0	94.1
Grok 4.7	46.4	$3.74	57.9	59.8	25.8	57.4	43.1	17.7	20.0	47.4	70.7	65.6	76.7	·
MiMiMo-V2.6-Pro	46.3	$0.13	51.1	58.7	34.8	60.9	49.4	26.6	19.2	34.8	59.4	58.6	86.3	·
Qwen3.8 Max	45.4	$5.41	57.0	58.4	38.9	52.1	43.1	17.7	22.8	31.7	71.2	56.2	80.3	92.8

The score is AA Intelligence Index exactly as Artificial Analysis publishes it; the columns are what goes into it. Best result per column is underlined. A “·” means Artificial Analysis has not run that measure against the model; it is left as a gap, never counted as a zero. † is still measured by AA but no longer counted by Intelligence Index v4.3, so it is shown for context and not averaged into the score.

Every model, ranked

The whole field on one index. Sort, filter, click to inspect.

Artificial Analysis Intelligence Index

Composite of ten public evals: agents, coding, scientific reasoning, general · Higher is better

Open sourceClosed

Click a bar to inspect

top 18 of 60 shown · full list belowAttributedArtificial Analysis v4.3

Leaderboard

	Model							License
1	Claude Opus 5.5 Anthropic	58	0.7	$8.7K	$4.00 / $20.0	·	1M	Proprietary
2	Claude Fable 5.1 Anthropic	53	0.4	$13.1K	$10.0 / $50.0	66 t/s	1M	Proprietary
3	GPT-6 Astra OpenAI	53	1.0	$5.3K	$10.0 / $50.0	61 t/s	1M	Proprietary
4	Claude Opus 5 Anthropic	51	0.7	$7.3K	$5.00 / $25.0	55 t/s	1M	Proprietary
5	Muse Spark 1.3 Meta	48	2.4	$2.0K	$1.25 / $4.25	213 t/s	1M	Proprietary
6	GPT-6 Sol OpenAI	48	3.1	$1.6K	$2.00 / $10.0	·	872K	Proprietary
7	GPT-5.6 Sol OpenAI	47	1.4	$3.5K	$4.00 / $20.0	82 t/s	1M	Proprietary
8	Grok 4.7 xAI	46	0.9	$5.0K	$2.00 / $6.00	39 t/s	500K	Proprietary
9	Mi MiMo-V2.6-Pro Xiaomi (MiMo)	46	22.4	$207	$0.43 / $0.87	76 t/s	1M	MIT
10	Qwen3.8 Max Alibaba (Qwen)	45	0.9	$4.9K	$2.00 / $6.00	39 t/s	984K	Proprietary

MiMo-V2.6-Pro

Xiaomi (MiMo) · MIT · 1020B · 42B active

open

Intelligence Index46

Intel / $10022.4

Cost per task: $0.13
Full index run: $207
Price in / out: $0.43 / $0.87
Cached input: 121x cheaper$0.0036
Speed: 2.55s TTFT76 t/s
Context: 1M

Capability breakdown0 to 100

Agents

Coding

Reasoning

Knowledge

Long context

Full evaluation on Artificial Analysis

The state of open, at a glance

Who is smartest, and who gives the most per dollar.

Open sourceClosed

Intelligence

Artificial Analysis Intelligence Index · Higher is better

Value

Index points per $100 of run cost · models scoring 34.6+

MiMo-V2.6-Pro is 11.3 points behind Claude Opus 5.5 on the Intelligence Index, holding 80% of the top score. In 2025 that gap was 7.7 points, and it has widened since.

MiMo-V2.6-Pro

Open source · 46

Claude Opus 5.5

Closed · 58

Run the open frontier yourself

Same OpenAI-compatible API, open source weights you keep, at a fraction of closed-API cost. The snippet is pointed at GLM-5.3, the highest-scoring open model Together serves today.

Start on Together What would it cost?

Copied

# uv add together

from together import Together

client = Together()

response = client.chat.completions.create(

model="zai-org/GLM-5.3",

messages=[{"role": "user", "content": "What are the top 3 things to do in New York?"}],

)

print(response.choices[0].message.content)