Die Grenze verschiebt sich wöchentlich. Wir verfolgen die Modelle, die zählen – von den acht Laboren, die den Markt tatsächlich bewegen – mit referenzierten Zahlen und einem verständlichen 'Warum es wichtig ist'.
Unsere Einschätzung der öffentlichen Benchmarks, wöchentlich aktualisiert. Meinung, klar gekennzeichnet – klicken Sie auf ein Modell für die Quelle.
| Modell | Labor | Veröffentlicht | Kontext | Benchmark-Schlagzeile |
|---|---|---|---|---|
| GLM-5.3 | Z.ai | 14. Aug. 2026 | — | Terminal-Bench 3.0 (Z.ai self-reported): 28.3, up from GLM-5.2's 4.6 (GPT-5.6 Sol 34.6) |
| Grok 4.6 | xAI | 12. Aug. 2026 | 500K | API price (per 1M in/out tokens, <200k prompt): $2 / $6 |
| DeepSeek V4 Pro (0813)offene Gewichte | DeepSeek | 12. Aug. 2026 | 1M | API price (per 1M in/out tokens, promo): $0.435 / $0.87 |
| Seedance 2.5Video | ByteDance | 31. Juli 2026 | — | Single-pass clip length: 30 seconds (up from 15) |
| DeepSeek V4 Flash (0731)offene Gewichte | DeepSeek | 31. Juli 2026 | 1M | API price (per 1M in/out tokens): $0.14 / $0.28 |
| Claude Opus 5 | Anthropic | 24. Juli 2026 | — | API price (per 1M in/out tokens): $5 / $25 |
| Kimi K3offene Gewichte | Moonshot AI | 16. Juli 2026 | 1M | Total parameters (sparse MoE): 2.8T |
| GPT-5.6 (Sol · Terra · Luna) | OpenAI | 9. Juli 2026 | — | API price, Sol (per 1M in/out tokens): $5 / $30 |
Z.ai's 14 Aug 2026 release reuses GLM-5.2's base model — every gain comes from scaled post-training on long-horizon RL environments. Large jumps on agentic coding (Terminal-Bench 3.0 4.6 → 28.3, SWE-Marathon 19.4 → 42.5) and an unplanned cyber result (CyberGym 84.5). All figures are Z.ai's own; no independent evaluation exists yet. Weights promised two weeks after launch.
Warum es wichtig ist: It reaches Opus 4.8's coding score on roughly 2.4× fewer output tokens, so the saving is on the bill rather than the leaderboard — but check your API calls first: `thinking.type: "disabled"` is no longer supported and will fail on glm-5.3.
xAI's 12 Aug 2026 successor to Grok 4.5: same $2/$6 API price, same 500K context, a longer post-training run aimed at long-running agents and visual/interactive work. A faster variant costs double. Knowledge cut-off is 1 Feb 2026.
Warum es wichtig ist: Frontier-class intelligence at the old 4.5 price — migrate off 4.5 with a one-line model swap. It is a knowledge-work pick, not the cheapest volume model and not the strongest terminal coding agent.
The deepseek-v4-pro API id now serves DeepSeek-V4-Pro-0813 weights. Calling method and promo pricing are unchanged. DeepSeek's changelog still has no Pro GA entry — the last note (31 Jul) said an official Pro release would follow soon — so this is a weight drop, not a new product.
Warum es wichtig ist: Harder reasoning stays cheap on the same endpoint. Keep Flash ($0.14/$0.28) for volume; do not treat 0813 as a priced relaunch until DeepSeek posts a changelog.
ByteDance's new video model generates 30-second audio-and-video clips in one pass, extends them over multiple rounds for multi-minute pieces, and edits by timestamp. At launch it runs inside Jimeng AI and Doubao Pro, with API access announced as coming via BytePlus ModelArk rather than available.
Warum es wichtig ist: The clearest jump yet in one-take video, but there is no general API to wire into a workflow — treat it as something to try inside a consumer video app, not a tool to rebuild your content process around until the API actually ships.
The official V4 Flash checkpoint entered public beta on the existing deepseek-v4-flash API id, replacing the April preview. The legacy deepseek-chat and deepseek-reasoner ids were retired on 2026-07-24.
Warum es wichtig ist: Near-frontier results at roughly a tenth of typical API prices, with MIT-licensed open weights — the budget and privacy-sensitive pick just got better without changing price.
Anthropic's new everyday flagship: close to Fable 5 on most benchmarks at half the price ($5/$25 vs $10/$50 per MTok), with a low/medium/high effort toggle to trade cost against capability.
Warum es wichtig ist: Frontier-level output at half the flagship price — re-check which Claude tier your workflows actually need before renewing.
Moonshot's 2.8-trillion-parameter sparse MoE — reportedly the largest open-weight model yet, with a 1M-token context window. Weights announced for late July; until then benchmark claims are vendor-reported.
Warum es wichtig ist: Open-weight models keep closing on the paid frontier — if you pay per-token for API work, the cheap tier just got stronger again.
OpenAI's GPT-5.6 family in three tiers — Sol (frontier), Terra (balanced), Luna (fast/cheap) — general availability across ChatGPT, Codex, and the API on Jul 9 after a government-vetted limited preview in late June.
Warum es wichtig ist: Three clear price tiers make it easier to match the model to the job — most small-business tasks belong on the cheap tier, not the flagship.
xAI's first model built specifically for coding and agentic work, priced aggressively under Anthropic and OpenAI flagships with a 500K context window.
Warum es wichtig ist: Agentic coding on a budget is now a three-way price war — worth re-testing your coding stack before renewing anything.
A Mythos-class model made safe for general use — Anthropic's most capable generally available model, sitting above the Opus tier.
Warum es wichtig ist: The frontier of general-purpose reasoning just moved again; capable assistants keep getting cheaper to match.
The Mythos-class model available to approved organizations without the general-use safety measures applied to Fable 5.
Warum es wichtig ist: Signals how fast the top tier is advancing — the same capability reaches everyone shortly after.
A strong all-round released model, widely cited as a top performer through mid-2026.
Warum es wichtig ist: A dependable default for hard reasoning, coding, and long-document work.
OpenAI's mid-2026 frontier update, trading the top spot with Claude Opus on many benchmarks.
Warum es wichtig ist: Keeps the price-for-capability race moving — good news for anyone paying per token.
A March 2026 frontier release with a 1M-token context window and strong computer-use scores.
Warum es wichtig ist: Million-token context means it can read whole manuals, contracts, or codebases at once.
An open-weights frontier model with a 1M+ token context window and strong coding scores.
Warum es wichtig ist: Open weights + very low cost make it the value pick for budget-conscious and privacy-sensitive setups.
Google's February 2026 frontier update to the Gemini 3 line, with a very large context window.
Warum es wichtig ist: Deep integration with Google Workspace makes it a natural fit if you live in Docs and Gmail.
A February 2026 iteration in the GPT-5 line ahead of the March 5.4 release.
Warum es wichtig ist: Part of the steady cadence keeping the mainstream assistant sharp.
A February 2026 Opus update (alongside Sonnet 4.6), continuing Anthropic's rapid iteration.
Warum es wichtig ist: Reliability gains at the same price point — worth re-testing your prompts on each bump.
The Gemini 3 flagship that opened the current generation for Google.
Warum es wichtig ist: Set the bar for long-context multimodal work heading into 2026.
A late-2025 Opus release that anchored Anthropic's top tier into 2026.
Warum es wichtig ist: The baseline many businesses standardized on before the 2026 wave.
Wir aktualisieren dies wöchentlich im Rahmen desselben Ablaufs, der unsere Tool-Preise aktuell hält. Wir listen nur wirklich große Veröffentlichungen der Labore, die den Markt bewegen – führende Textmodelle und jetzt auch Videomodelle – und jede Statistik verlinkt auf ihre Quelle. Keine Quelle, keine Zahl. Wo ein Modell angekündigt, aber noch nicht über eine API erreichbar ist, sagen wir das, denn ein Modell, das du noch nicht kaufen kannst, ist keine Empfehlung.
Ihr Plan ist eine datierte Momentaufnahme des Marktes, und das freiwillige Monatsabo prüft ihn erneut, sobald sich solche Veränderungen durchsetzen — so bleiben die empfohlenen Tools und Preise am tatsächlichen Markt ausgerichtet.