1stTop pick
Researched 57d agoGPT-5.6 Sol
- Pick
- Current leader
- Output (from)
- $30.00 / 1M
Best LLM for translation
Last refreshed 2026-09-03. Next refresh: weekly.
Compare multilingual LLMs and dedicated translation models for text, document, and live speech translation. Ranked by context length and general-language benchmarks until translation-specific leaderboard rows land in seed data.
Verdict
Use GPT-5.6 Sol for this task today.
GPT-5.6 Terra is the runner-up: Current leader vs No. 2 on Pick.
2ndShortlist
Researched 57d agoGPT-5.6 Terra
- Pick
- No. 2
- Output (from)
- $15.00 / 1M
3rdShortlist
Researched 57d agoGPT-5.6 Luna
- Pick
- No. 3
- Output (from)
- $6.00 / 1M
How we rank
Translation picks are methodology-forward until dedicated translation benchmark rows land in seed data. We surface tagged translation models, Qwen-MT specialists, and long-context chat models teams commonly route for multilingual work.
- Eligibility — Models with translation use-case tags, translation specialization, Qwen-MT family membership, or ≥128K context on general chat-completion routes (excluding embeddings and media-only specialists).
- Primary ranking — Declared context window (wider first), then MMLU when present, then newer release. Realtime speech translation models appear in the table but are labeled separately from text-generation LLMs.
- Benchmark gap — No translation-quality leaderboard is standardized in seed yet — do not treat this page as a definitive translation-quality ranking until WMT or vendor-neutral multilingual rows are sourced.
- Pricing column — Lowest tracked provider input/output where a public rate card exists.
| # | Model | Input $/1M | Output $/1M | |
|---|---|---|---|---|
| 1 | RWKV-7 Goose 2.9B | — | — | |
| 2 | RWKV-7 Goose 1.5B | — | — | |
| 3 | RWKV-7 Goose 0.4B | — | — | |
| 4 | RWKV-7 Goose 0.1B | — | — | |
| 5 | RWKV-6 Finch 14B | — | — | |
| 6 | RWKV-6 Finch 7B | — | — | |
| 7 | RWKV-6 Finch 3B | — | — | |
| 8 | RWKV-6 Finch 1.6B | — | — | |
| 9 | LTM-2-mini | — | — | |
| 10 | Llama 4 Scout 17B-16E Instruct Vision | $0.08 | $0.22 | |
| 11 | LTM-1 | — | — | |
| 12 | MiniMax-01 Vision | $0.20 | $1.10 | |
| 13 | Gemini 3.5 Pro PreviewReasoningVision | — | — | |
| 14 | Gemini 1.5 Pro 002 | — | — | |
| 15 | Gemini 1.5 Pro Experimental 0827 | — | — | |
| 16 | Gemini 1.5 Pro Experimental 0801 | — | — | |
| 17 | Gemini 1.5 Pro | $1.25 | $5.00 | |
| 18 | GPT-5.5 ReasoningVisionTools | $5.00 | $30.00 | |
| 19 | GPT-6 Astra RestrictedReasoningVisionTools | — | — | |
| 20 | GPT-5.6 Sol ReasoningVisionTools | $5.00 | $30.00 |
Honorable mentions
Next seats in this ranking. Lines below are from each model's stored description in LLMReference seed data—spot-check the model page before relying on a capability claim.
GPT-5.5 Pro is OpenAI's premium extra-compute deployment of GPT-5.5, released April 23, 2026. It uses the same underlying weights as GPT-5.5 standard with additional parallel test-time compute for harder tasks. Supports text and image inputs, reasoning effort control, tool use, structured outputs, code execution, a 1,050,000-token context window, and 128K max output. Key datapack rows: Terminal-Bench 2.1 78.2%, SWE-bench Pro 58.6%, GPQA Diamond 93.6%, ARC-AGI-2 high effort 83.3%, BrowseComp Pro compute 90.1%, and FrontierMath Tier 4 39.6%. Official pricing is $30/M input, $180/M output, $10/M batch input, and $45/M batch output; native cached input discount is not listed.
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Rank
- #5GPT-5.4
GPT-5.4 is OpenAI's flagship frontier reasoning model, released March 5, 2026. It incorporates advances from GPT-5.3-Codex for coding and agentic workflows, and adds 'Thinking' mode with editable reasoning plans. Key capabilities include computer use (navigating interfaces via Playwright), image understanding and generation integration, full-stack web app generation, tool calling, and deep research. Knowledge cutoff is August 31, 2025. Model ID: gpt-5.4.
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Rank
Premium extended-reasoning GPT-5.4 variant producing smarter and more precise responses. Replacement for o3-deep-research and o4-mini-deep-research. No prompt caching discount.
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Rank
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