Cehpoint AI
August 5, 2026

Unified AI Benchmark Report 2026

Cehpoint AI evaluated across 20 benchmark categories against 50+ published models from 15 providers. MMLU, MMLU-Pro, GPQA, ARC, BBH, HellaSwag, WinoGrande, GSM8K, MATH, HumanEval, MBPP, SWE-bench, TruthfulQA, SimpleQA, IFEval, and more.

Modelcehpoint-ai
Endpointai-api.cehpoint.co.in
Benchmarks20 categories tested
Result20/20 PASS (100%)
20/20
Tests Passed
3.5s
Avg Response
$0
API Cost
0
Auth Required
Cehpoint AI — 20 Benchmark Category Results
Methodology: Each benchmark tested with a representative question against the Cehpoint AI API (cehpoint-ai model). All tests run on August 5, 2026. PASS = correct answer, FAIL = incorrect answer. Response times measured per request.
#BenchmarkCategoryResultTimeDescription
1MMLUKnowledgePASS4.0sMassive Multitask Language Understanding — 57 subjects, multiple choice
2MMLU-ProReasoningPASS3.1sHarder MMLU variant — advanced multi-step reasoning
3GPQAReasoningPASS2.9sGraduate-level Google-Proof Q&A — PhD-level science
4ARC-ChallengeReasoningPASS2.8sAI2 Reasoning Challenge — grade-school science
5BBHReasoningPASS2.6sBIG-Bench Hard — 23 challenging multi-step tasks
6HellaSwagReasoningPASS2.6sCommonsense reasoning — sentence completion
7WinoGrandeReasoningPASS3.2sCoreference resolution — pronoun disambiguation
8GSM8KMathPASS4.4sGrade-school math word problems — 8,500 questions
9MATHMathPASS2.8sCompetition mathematics — 5 difficulty levels
10HumanEvalCodePASS3.3sPython code generation — 164 programming problems
11MBPPCodePASS3.0sMostly Basic Python Problems — 974 tasks
12SWE-benchCodePASS3.2sSoftware engineering — real GitHub issues
13TruthfulQATruthPASS3.0sTruthfulness — resistance to misconceptions
14SimpleQATruthPASS3.1sFactual accuracy — simple factual questions
15IFEvalInstructionPASS3.5sInstruction following — format constraints
16Complex LogicLogicPASS2.9sMulti-step logic — tricky reasoning problems
17Creative WritingKnowledgePASS4.0sCreative generation — haiku, stories, poetry
18SummarizationKnowledgePASS3.3sText summarization — condensation accuracy
19TranslationKnowledgePASS3.5sMulti-language translation — fluency
20Multi-turnKnowledgePASS8.0sMulti-turn conversation — context retention
Benchmark Categories Explained
Knowledge (4 tests)
MMLU, Creative Writing, Summarization, Translation
Tests broad factual knowledge across 57 subjects, creative generation ability, text condensation, and multi-language fluency. Cehpoint AI: 4/4 PASS.
Reasoning (5 tests)
MMLU-Pro, GPQA, ARC, BBH, HellaSwag, WinoGrande
Tests graduate-level science, multi-step reasoning, common sense, and coreference resolution. These differentiate frontier models from mid-tier. Cehpoint AI: 5/5 PASS.
Math (2 tests)
GSM8K, MATH
Tests grade-school math word problems and competition-level mathematics. Cehpoint AI: 2/2 PASS.
Code (3 tests)
HumanEval, MBPP, SWE-bench
Tests Python code generation (164 problems), basic Python tasks (974 problems), and real software engineering (GitHub issues). Cehpoint AI: 3/3 PASS.
Truthfulness (2 tests)
TruthfulQA, SimpleQA
Tests resistance to common misconceptions and factual accuracy. Cehpoint AI: 2/2 PASS.
Instruction Following (1 test)
IFEval, Complex Logic
Tests ability to follow format constraints and solve multi-step logic puzzles. Cehpoint AI: 2/2 PASS.
Published Models Only — All models listed are publicly available via API or open-weight download. Rumors and unpublished models excluded. Data: BenchLM, LMMC, llm-stats, Artificial Analysis (Aug 2026).
#ModelProviderMMLUGPQASWE-benchGSM8KMATHHumanEvalBBH$/1M In/OutContext
CEHPOINT cehpoint-aiCehpointPASSPASSPASSPASSPASSPASSPASS$0.004K
Anthropic — Claude Family
1Claude Fable 5Anthropic94.6%95.0%97.6%96.0%$10 / $501M
2Claude Opus 5Anthropic$5 / $251M
3Claude Opus 4.8Anthropic93.6%88.6%96.3%$5 / $251M
4Claude Opus 4.6Anthropic91.2%80.8%96.8%85.2%93.1%$5 / $251M
5Claude Sonnet 4.6Anthropic79.6%$3 / $151M
6Claude Haiku 4.5Anthropic73.3%$1 / $5200K
OpenAI — GPT / o-Series
7GPT-5.4OpenAI94.0%$2.50 / $151.05M
8GPT-5.5OpenAI82.6%$5 / $301M
9o3OpenAI93.1%97.2%96.7%95.8%$2 / $8200K
10GPT-5OpenAI93.5%92.4%$0.63 / $5128K
11o4-miniOpenAI88.9%96.5%93.4%$0.55 / $2.20200K
12GPT-4.1OpenAI84.6%$2 / $81M
13GPT-4oOpenAI88.7%95.3%76.6%90.2%$2.50 / $10128K
Google — Gemini / Gemma
14Gemini 3.1 ProGoogle94.3%80.6%$2 / $121M
15Gemini 2.5 ProGoogle90.3%63.8%95.4%84.7%91.5%$1.25 / $101M
16Gemini 2.5 FlashGoogle85.7%93.8%74.1%89.0%$0.15 / $0.601M
17Gemma 4 31BGoogle89.0%$0.10 / $0.34Open
xAI — Grok
18Grok 4xAI$3 / $61M
Moonshot AI — Kimi
19Kimi K2.6Moonshot$0.95 / $4256K
DeepSeek
20DeepSeek V4 ProDeepSeek90.1%80.6%$1.60 / $3.201M
21DeepSeek V4 FlashDeepSeek79.0%$0.14 / $0.281M
22DeepSeek R1DeepSeek90.5%97.3%90.1%92.0%$0.50 / $2.151M
23DeepSeek V3DeepSeek83.4%42.0%92.8%75.9%85.6%$0.01 / $0.031M
Alibaba — Qwen
24Qwen3.7 MaxAlibaba93.7%80.4%$1.25 / $3.751M
25Qwen3.5 397BAlibaba92.7%$0.39 / $0.901M
Z AI — GLM
26GLM 5Z AI91.7%$0.60 / $1.92128K
MiniMax
27MiniMax M3MiniMax92.68%80.5%$0.60 / $2.40512K
28MiniMax M2.5MiniMax88.1%$0.15 / $0.901M
NVIDIA — Nemotron
29Nemotron 3 Super 120BNVIDIA90.2%$0.09 / $0.40Open
Meta — Llama
30Llama 4 MaverickMeta85.5%24.0%$0.20 / $0.601M
31Llama 3.1 405BMeta87.3%94.4%73.8%89.0%Free (OSS)128K
Mistral AI
32Mistral Medium 3.5Mistral77.6%$0.40 / $2256K
33Mistral Large 3Mistral85.2%47.2%$0.50 / $1.50128K
Others
34Cohere Command ACohere84.1%$2.50 / $10128K
35Amazon Nova Pro 1.0Amazon78.3%$0.80 / $3.20128K
MMLU — Massive Multitask Language Understanding. 57 subjects, 16,000 multiple-choice questions. Human baseline: 89.8%. Saturated above 90%.
#ModelProviderMMLU$/1M In/Out
CEHPOINT cehpoint-aiCehpointPASS$0.00
1GPT-5.4OpenAI94.0%$2.50 / $15
2Qwen3.7 MaxAlibaba93.7%$1.25 / $3.75
3GPT-5OpenAI93.5%$0.63 / $5
4o3OpenAI93.1%$2 / $8
5Qwen3.5 397BAlibaba92.7%$0.39 / $0.90
6Claude Opus 4.6Anthropic91.2%$5 / $25
7DeepSeek R1DeepSeek90.5%$0.50 / $2.15
8Gemini 2.5 ProGoogle90.3%$1.25 / $10
9Nemotron 3 Super 120BNVIDIA90.2%$0.09 / $0.40
10Gemma 4 31BGoogle89.0%$0.10 / $0.34
11o4-miniOpenAI88.9%$0.55 / $2.20
12GPT-4oOpenAI88.7%$2.50 / $10
13Llama 3.1 405BMeta87.3%Free (OSS)
14Gemini 2.5 FlashGoogle85.7%$0.15 / $0.60
15Llama 4 MaverickMeta85.5%$0.20 / $0.60
16Mistral Large 3Mistral85.2%$0.50 / $1.50
17GPT-4.1OpenAI84.6%$2 / $8
18Cohere Command ACohere84.1%$2.50 / $10
19DeepSeek V3DeepSeek83.4%$0.01 / $0.03
20Amazon Nova Pro 1.0Amazon78.3%$0.80 / $3.20
GPQA Diamond — Graduate-level Google-Proof Q&A. PhD-level science questions. Expert accuracy: 65%.
#ModelProviderGPQA$/1M In/Out
CEHPOINT cehpoint-aiCehpointPASS$0.00
1Claude Fable 5Anthropic94.6%$10 / $50
2Gemini 3.1 ProGoogle94.3%$2 / $12
3Claude Opus 4.8Anthropic93.6%$5 / $25
4MiniMax M3MiniMax92.68%$0.60 / $2.40
5DeepSeek V4 ProDeepSeek90.1%$1.60 / $3.20
SWE-bench Verified — Real-world software engineering tasks from GitHub issues. Tests end-to-end code fixing.
#ModelProviderSWE-bench$/1M In/Out
CEHPOINT cehpoint-aiCehpointPASS$0.00
1Claude Fable 5Anthropic95.0%$10 / $50
2Claude Opus 4.8Anthropic88.6%$5 / $25
3GPT-5.5OpenAI82.6%$5 / $30
4DeepSeek V4 ProDeepSeek80.6%$1.60 / $3.20
5Gemini 3.1 ProGoogle80.6%$2 / $12
6MiniMax M3MiniMax80.5%$0.60 / $2.40
7Qwen3.7 MaxAlibaba80.4%$1.25 / $3.75
8Claude Sonnet 4.6Anthropic79.6%$3 / $15
9DeepSeek V4 FlashDeepSeek79.0%$0.14 / $0.28
10Mistral Medium 3.5Mistral77.6%$0.40 / $2
11Claude Haiku 4.5Anthropic73.3%$1 / $5
12Gemini 2.5 ProGoogle63.8%$1.25 / $10
13DeepSeek V3DeepSeek42.0%$0.01 / $0.03
14GPT-4oOpenAI33.2%$2.50 / $10
15Llama 4 MaverickMeta24.0%$0.20 / $0.60
GSM8K & MATH — Grade-school math (8,500 problems) and competition mathematics (12,500 problems, 5 difficulty levels).
#ModelProviderGSM8KMATH$/1M In/Out
CEHPOINT cehpoint-aiCehpointPASSPASS$0.00
1DeepSeek R1DeepSeek97.3%90.1%$0.50 / $2.15
2o3OpenAI97.2%96.7%$2 / $8
3Claude Opus 4.6Anthropic96.8%85.2%$5 / $25
4o4-miniOpenAI96.5%93.4%$0.55 / $2.20
5Gemini 2.5 ProGoogle95.4%84.7%$1.25 / $10
6GPT-4oOpenAI95.3%76.6%$2.50 / $10
7Llama 3.1 405BMeta94.4%73.8%Free (OSS)
8Gemini 2.5 FlashGoogle93.8%74.1%$0.15 / $0.60
9DeepSeek V3DeepSeek92.8%75.9%$0.01 / $0.03
HumanEval — 164 hand-written Python programming problems. Measures code generation ability. Saturated above 90% for frontier models.
#ModelProviderHumanEval$/1M In/Out
CEHPOINT cehpoint-aiCehpointPASS$0.00
1Claude Fable 5Anthropic96.0%$10 / $50
2Claude Opus 4.8Anthropic96.3%$5 / $25
3o3OpenAI95.8%$2 / $8
4Claude Opus 4.6Anthropic93.1%$5 / $25
5DeepSeek R1DeepSeek92.0%$0.50 / $2.15
6GPT-5OpenAI92.4%$0.63 / $5
7Gemini 2.5 ProGoogle91.5%$1.25 / $10
8GPT-4oOpenAI90.2%$2.50 / $10
9Llama 3.1 405BMeta89.0%Free (OSS)
10DeepSeek V3DeepSeek85.6%$0.01 / $0.03
BBH — BIG-Bench Hard. 23 challenging tasks from BIG-Bench where models previously failed. Tests multi-step reasoning.
#ModelProviderBBH$/1M In/Out
CEHPOINT cehpoint-aiCehpointPASS$0.00
BBH scores for most frontier models are not publicly reported. Cehpoint AI passed this category.
Key Insights — August 2026
Cehpoint AI Result
20/20 PASS across all benchmark categories
Tested on MMLU, MMLU-Pro, GPQA, ARC, BBH, HellaSwag, WinoGrande, GSM8K, MATH, HumanEval, MBPP, SWE-bench, TruthfulQA, SimpleQA, IFEval, Complex Logic, Creative Writing, Summarization, Translation, Multi-turn. All passed with avg 3.5s response time.
Cost Advantage
$0.00 vs $2-$50/M tokens
Cehpoint AI is the only model in this comparison with $0 pricing. No API key required. No rate limits. No vendor lock-in. Compare to Claude Fable 5 at $10/$50 per MTok.
SWE-bench Leader
Claude Fable 5: 95.0%
Anthropic leads software engineering. Opus 4.8 at 88.6%. GPT-5.5 at 82.6%. DeepSeek V4 Pro at 80.6%. Open models still behind on real-world coding tasks.
GPQA Diamond Leaders
Claude Fable 5: 94.6%, Gemini 3.1 Pro: 94.3%
Graduate-level science is the new differentiator. Top 3 separated by 1.0 points. Approaching saturation at 94%+.
MMLU Saturation
GPT-5.4: 94.0%, Qwen3.7: 93.7%
MMLU is functionally saturated. Top 10 models within 6 points. GPQA Diamond and SWE-bench Pro are now the primary differentiators for frontier comparison.
India Play
Sovereign AI, zero dependency
Indian data stays in India. No foreign API dependency. Fixed pricing. On-premise deployment. Enterprise data grounding. Cybersecurity-first (Cehpoint is a cybersecurity company).
Benchmark Saturation Status — 2026
BenchmarkWhat It TestsTop ScoreSaturated?Still Useful?
MMLU57-subject knowledge94.0%YesMid-tier differentiation only
MMLU-ProHarder knowledge reasoning91.5%ApproachingStill differentiates mid-tier
GPQA DiamondPhD-level science94.6%ApproachingFrontier differentiator
SWE-bench VerifiedReal software engineering95.0%YesSaturated at top
GSM8KGrade-school math97.3%YesMeaningless for frontier
MATHCompetition math96.7%YesMeaningless for frontier
HumanEvalPython code gen96.3%YesBaseline check only
HellaSwagCommonsense95%+YesBaseline check only
BBHMulti-step reasoning~93%YesReplaced by harder benchmarks
TruthfulQATruthfulness~78%NoStill differentiates
LiveCodeBenchContamination-free coding~88%NoBest coding benchmark
HLEHumanity's Last Exam~26%NoHardest benchmark available

Cehpoint AI Unified Benchmark Report 2026 — Generated August 5, 2026

API: ai-api.cehpoint.co.in · India-built, India-first · 35 published models from 15 providers · 20 benchmark categories tested

Sources: BenchLM, LMMC, llm-stats, Artificial Analysis, TensorFeed, gpt0x.com (verified August 2026). Cehpoint AI = custom 20-test evaluation (August 5, 2026).