The market for large language models continues to evolve at breakneck speed. Between the release of GPT-5.5 (April 23, 2026) who takes the lead in the ranking, the arrival of Claude Opus 4.7 (April 16, 2026) which dominates SWE-bench Pro, and the rise of Chinese open-source models like Kimi K2.6 And DeepSeek V4the landscape has changed profoundly in just two months.
This guide is based on the most recent data fromArtificial Analysisthe global benchmark for the objective evaluation of AI models. Their Intelligence Index synthesizes more than 10 recognized benchmarks (reasoning, code, mathematics, agents) and offers the most complete vision of the capabilities of each model. Here are the top 15 best-performing LLMs in April 2026, with their prices and our recommendations depending on your use case.
The top 15 smartest LLMs in April 2026
The ranking below is based on theArtificial Analysis Intelligence Index as of April 25, 2026. The score summarizes performance on various benchmarks: logical reasoning, code, mathematics, autonomous agents and language understanding.
| # | Model | Creator | Intel score. | Context | Price/1M tokens (in/out) |
| 1 | GPT-5.5 (xhigh) | OpenAI | 60 | 1.1M | $5 / $30 |
| 2 | GPT-5.5 (high) | OpenAI | 59 | 1.1M | $5 / $30 |
| 3 | Claude Opus 4.7 (max) | Anthropic | 57 | 1M | $5 / $25 |
| 4 | Gemini 3.1 Pro Preview | 57 | 1M | $2 / $12 | |
| 5 | GPT-5.4 (xhigh) | OpenAI | 57 | 1.05M | $2.50 / $15 |
| 6 | GPT-5.5 (medium) | OpenAI | 57 | 1.1M | $5 / $30 |
| 7 | Kimi K2.6 | Moonshot AI | 54 | 262K | $0.60 / $2.50 (open) |
| 8 | MiMo V2.5 Pro | Xiaomi | 54 | 200K | $1.20 / $4.80 |
| 9 | Claude Opus 4.6 | Anthropic | 53 | 1M | $5 / $25 |
| 10 | Grok 4.3 | xAI | 53 | 1M | $1.50 / $7.50 |
| 11 | GLM-5.1 | Zhipu AI | 52 | 200K | $0.90 / $3.50 (open) |
| 12 | Muse Spark | Meta | 52 | 262K | NC |
| 13 | Claude Sonnet 4.6 | Anthropic | 51 | 1M | $3 / $15 |
| 14 | DeepSeek V4 | DeepSeek | 50 | 128K | $0.30 / $1.20 (open MIT) |
| 15 | Llama 4 Maverick | Meta | 49 | 1M | $1.20 / $5 (open) |
Detailed analysis of flagship models
GPT-5.5: the new leader of OpenAI
Released on April 23, 2026GPT-5.5 is the first complete architectural overhaul at OpenAI since GPT-4.5. The model takes the lead in the Artificial Analysis ranking with a score of 60 and dominates several key benchmarks: 88.7% on SWE-bench Verified (absolute record for a general model) and 82.7% on Terminal-Bench 2.0 for autonomous agent tasks.
Its context window 1.1 million tokens (272K as standard, opt-in for 1M) allows you to process entire codebases or complete documentary files. Notable feature: GPT-5.5 generates 72% fewer tokens than GPT-5.4 on equivalent tasks — the final bill is often lower than the list price suggests ($5 input / $30 output).
GPT-5.5 Pro also exists for power users with an intelligence score slightly lower than xhigh but extended reasoning, at $30/M input and $180/M output — geared towards very specific uses (scientific research, math).
Claude Opus 4.7: Anthropic retains the crown of serious coding
Launched on April 16, 2026Claude Opus 4.7 introduces the “max effort” mode and several technical advances: high resolution vision (3x higher than Opus 4.6)adaptive reasoning and improved long-horizon agent capabilities. On SWE-bench Pro (the most difficult and least contaminated coding benchmark), Opus 4.7 remains the leader with 64.3%ahead of GPT-5.5 (58.6%).
Anthropic has also kept its price unchanged compared to Opus 4.6: $5/M input and $25/M outputwith the context window of 1 million tokens included without overhead. It is also the preferred model on LM Arena (1504 Elo) — the benchmark of anonymized human preferences — ahead of Gemini 3.1 Pro and GPT-5.4.
For less demanding workloads, Claude Sonnet 4.6 remains the best quality/price compromise in the Anthropic range: intelligence score of 51 (frontier-class), 1M context, at only $3 input / $15 output.
Gemini 3.1 Pro: Google dominates the intelligence/price ratio
Gemini 3.1 Pro Preview is undoubtedly the best surprise of 2026. With an equal intelligence score with Claude Opus 4.7 and GPT-5.4 (57 on the AA Intelligence Index), Google offers a price 2 to 5 times lower than the competition: $2 input / $12 output, or 60% cheaper than Claude Opus 4.7.
The model also wins the first place on GPQA Diamond (PhD level scientific reasoning) with 94.3%, and the absolute record on ARC-AGI-2 (77.1%, or 2.5x its predecessor). Its window of 1 million tokens and its speed (121 characters/second) make it a particularly relevant choice for high-volume workloads.
Challengers who are changing the market
Kimi K2.6: the best open-source in 2026
Kimi K2.6 of Moonshot AI confirmed Chinese leadership on the open-source frontier. With a score of 54 on the Intelligence Index – only 3 points behind the top 5 – it offers performance close to the frontier at a price 8x lower to Claude Opus 4.7 ($0.60 input / $2.50 output). This is the best intelligence/cost ratio on the market today.
DeepSeek V4: the MIT open-source revolution continues
Released in March 2026, DeepSeek V4 remains one of the most economical models while displaying solid performance: 79% on SWE-bench Verified for only $0.30/M input and $1.20/M output. Under MIT license, it has established itself as the benchmark economic alternative for organizations concerned with technological sovereignty and cost control.
Llama 4 Maverick: Meta enters the frontier race
The family Llama 4 by Meta (Scout, Maverick, Behemoth) has become a credible frontier player in 2026. Maverick (17B active / 400B parameters in MoE) is native multimodal and offers 1M context with an attractive open-source price. For teams who want to self-host a frontier model without depending on Big Tech, this is the strongest choice today.
Grok 4.3, GLM-5.1 and MiMo: diversification is accelerating
Grok 4.3 of xAI confirms Elon Musk's premium strategy with a score of 53. GLM-5.1 from Zhipu AI (China) briefly held the top spot on SWE-bench Pro in April 2026 — a first for an open-source model. And MiMo V2.5 Pro from Xiaomi enters the top 10 with a score of 54, proving that Chinese players are now essential in the frontier segment.
Price comparison: from premium to economical
The price difference between the cheapest (DeepSeek V4) and the most expensive (GPT-5.5 xhigh) reaches a factor of 17 in input and 25 in output. Here is the top 15 sorted by increasing price:
| Model | Score | In/out price (per 1M tokens) | Segment |
| DeepSeek V4 | 50 | $0.30 / $1.20 | Economic |
| Kimi K2.6 | 54 | $0.60 / $2.50 | Economic |
| GLM-5.1 | 52 | $0.90 / $3.50 | Economic |
| MiMo V2.5 Pro | 54 | $1.20 / $4.80 | Intermediate |
| Llama 4 Maverick | 49 | $1.20 / $5.00 | Intermediate |
| Grok 4.3 | 53 | $1.50 / $7.50 | Intermediate |
| Gemini 3.1 Pro Preview | 57 | $2.00 / $12.00 | Premium |
| GPT-5.4 (xhigh) | 57 | $2.50 / $15.00 | Premium |
| Claude Sonnet 4.6 | 51 | $3.00 / $15.00 | Premium |
| Claude Opus 4.6 | 53 | $5.00 / $25.00 | Ultra-premium |
| Claude Opus 4.7 (max) | 57 | $5.00 / $25.00 | Ultra-premium |
| GPT-5.5 (xhigh/high/medium) | 60 / 59 / 57 | $5.00 / $30.00 | Ultra-premium |
How to choose your LLM according to your use case
For maximum performance (without budget constraints)
GPT-5.5 (xhigh) with its score of 60 remains the absolute reference, particularly on autonomous agent tasks and composite benchmarks. If code quality and long-term reasoning are priority, Claude Opus 4.7 (max) remains the most reliable choice — especially on SWE-bench Pro and workloads where hallucinations are a critical risk.
For software development
Claude Opus 4.7 leads SWE-bench Pro at 64.3% and remains popular with serious developers. GPT-5.5 dominates SWE-bench Verified at 88.7% and the agentic CLI. For teams tight on costs, Kimi K2.6 (80.2% on SWE-bench Verified at $0.60/M) offers 80% of the result at 8x cheaper. GPT-5.3 Codex remains the best on certain LiveCodeBench benchmarks thanks to its specific tuning.
For the best quality/price ratio
With an intelligence score equivalent to the top 5, Gemini 3.1 Pro Preview is unbeatable: 60% cheaper than Claude Opus 4.7 or GPT-5.5 for the same quality. This is the default choice in 2026 for the majority of production workloads that do not require a specific benchmark.
For a tight budget or sovereignty
DeepSeek V4 at $0.30/M input remains the champion of absolute economy. Under MIT license, it can be self-hosted without dependency. Kimi K2.6 is the most efficient alternative to a controlled open-source price. Llama 4 Maverick Meta is the strongest choice for on-premises frontier deployment.
To process large documents
Six models now offer 1 million native context tokens: Claude Opus 4.7, Sonnet 4.6, Gemini 3.1 Pro, GPT-5.5, GPT-5.4 and Llama 4 Maverick. For legal documents, massive contracts or entire codebases, Gemini 3.1 Pro remains the fastest and cheapest in this category.
Key market trends in April 2026
- The border becomes a plateau : Claude Opus 4.7, Gemini 3.1 Pro and GPT-5.4 are tied on the Intelligence Index (57). The choice between them now comes down to the ecosystem, price or specific benchmarks.
- Open-source is catching up quickly : Kimi K2.6 (54) and MiMo V2.5 Pro (54) are close behind the top 5 at a much lower cost. GLM-5.1 even briefly took #1 on SWE-bench Pro.
- Context windows explode : 1 million tokens is becoming the standard for flagships, compared to 200K-400K 6 months ago.
- Token-efficient optimization becomes strategic : GPT-5.5 generates 72% fewer tokens than GPT-5.4 — the actual bill goes down even when the list price increases.
- Diversification continues : Meta enters the frontier with Muse Spark and Llama 4. Xiaomi (MiMo) and Moonshot AI (Kimi) confirm Chinese emergence. Anthropic is preparing the next generation with “Claude Mythos” spotted in the leaderboards.
Conclusion: which LLM to choose in April 2026?
Choosing an LLM in 2026 is no longer a question of “absolutely best” — it’s a question of use case and profile. Raw performance is neck and neck between the leaders, and the real difference now comes down to value for money, the ecosystem and specific features.
My 3 main recommendations for April 2026:
- For the majority of use cases → Gemini 3.1 Pro Preview (frontier intelligence at the best price)
- For serious coding → Claude Opus 4.7 (leader SWE-bench Pro, more reliable, reduced hallucinations)
- For maximum performance or autonomous agents → GPT-5.5 (xhigh) (the new king of the frontier)
And for tight budgets, Kimi K2.6 And DeepSeek V4 now offer 80% of the frontier performance at 10% of the price — an equation that was unthinkable a year ago. The pace of innovation remains frenetic: we will update this ranking with each major development.