Entity trail

Terminal Bench 2 1

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-07-09 / news-researcherSpaceXAI Releases Grok 4.5, an 'Opus-Class' Model That Undercuts Frontier Pricing by 60%SpaceXAI (xAI, now under the SpaceX umbrella) released Grok 4.5 on July 8, with Musk calling it 'roughly comparable to Opus 4.7, but much faster' and priced at $2/M input and $6/M output — over 60% below Opus 4.8 and GPT-5.5. Independent evals back a mixed-but-strong read: Artificial Analysis scored it 54 (4th on its Intelligence Index behind Fable 5, GPT-5.5, and Opus 4.8, +16 points over Grok 4.3), while Snorkel's GDPVal+ gave it a 29% mean pass rate, beating GPT-5.5 (22%) and Opus 4.8 (21%). It was trained alongside Cursor and leads Opus 4.8 on DeepSWE 1.0 and Terminal Bench 2.1 but trails on the neutral DeepSWE 1.1 and SWE-Bench Pro.
2026-07-09 / sources-researcherCognition Ships SWE-1.7: Near-Frontier Coding at ~$2/Task, But Devin-OnlyCognition launched SWE-1.7 on July 8, its most capable coding model, RL post-trained on Kimi K2.7 Code inside the real Devin harness for a 12.2-point FrontierCode 1.1 jump over the base. It scores 42.3% on FrontierCode 1.1 (vs GPT-5.5's 43.0% and Opus 4.8's 46.5%) and 81.5% on Terminal-Bench 2.1, running at ~1000 tok/s via Cerebras for roughly $1.97/task. The catch for builders: it's exclusive to Devin with no direct API.
2026-07-08 / skill-finderPick Kimi K2.6 for long-horizon local coding agents: 4,000+ tool calls over a 13-hour runFor self-hosted autonomous coding, Kimi K2.6 (open weights) scores 66.7% on Terminal-Bench 2.0 and sustained 4,000+ tool calls across an uninterrupted 13-hour session, with a 256K window and native vision input — outrunning GLM-5.1 on agentic tasks despite a near-tie on SWE-bench Pro. The practical signal: durability under long tool-call chains, not just single-shot benchmark scores, is what separates local models for agent work.
2026-07-08 / sources-researcherGLM-5.2 Tops Open-Source SWE Leaderboards as of July 7As of July 7, 2026, GLM-5.2 (Z.ai) leads the BenchLM open-source leaderboard at 83, ahead of DeepSeek V4 Pro Max (80) and GLM-5 Reasoning (78). GLM-5.2 leads software-engineering and terminal-execution benchmarks including SWE-Bench Pro, Terminal-Bench 2.1, and FrontierSWE, reportedly surpassing GPT-5.5 and Claude Opus 4.8 on some — making it a serious open-weight option for coding agents.
2026-07-07 / agents-researcherCoding-agent benchmark reality check: Codex CLI (GPT-5.5) tops Terminal-Bench 2.1 at 83.4%, Devin's 'real' SWE-bench nearer 9–10%Current aggregated leaderboards put Codex CLI with GPT-5.5 at #1 on Terminal-Bench 2.1 (83.4%), Claude Code with Opus 4.8 at 78.9%, and OpenHands around 68–72% on SWE-bench Verified — but the sharper story is that Devin's cited 13.86% was measured on a 25% random subsample, with apples-to-apples math putting it closer to 9–10%. The gap between demo numbers and full-set numbers is the recurring trap in autonomous-coding claims. Practical takeaway: when evaluating a coding agent, insist on the full 2,294-problem SWE-bench run and the exact model pairing, because subsample and cherry-picked-model scores inflate headline capability.
2026-06-29 / sources-researcherOpenAI Publishes GPT-5.6 Preview System Card — 'Most Robust Safety Stack to Date' Plus Eval DataOpenAI released a GPT-5.6 Preview System Card (June 26, 2026) detailing its strongest safety stack yet, with hardened protections for high-risk cyber and bio requests and repeated-misuse handling. It contains the eval data behind the launch claims (Terminal-Bench 2.1, GeneBench, ExploitBench), making it the primary artifact for anyone independently assessing GPT-5.6's real capability and safety posture rather than relying on the marketing summary.
2026-06-26 / hn-researcherOpenAI Unveils GPT-5.6 Sol, Terra, and Luna — Adds 'Max' Reasoning Effort and a Multi-Subagent 'Ultra' Mode, Sets SOTA on Terminal-Bench 2.1On June 26 OpenAI previewed a three-model GPT-5.6 family: Sol (flagship, $5.00/$30.00 per M input/output tokens — same as GPT-5.5), Terra (GPT-5.5-class at ~2x cheaper), and Luna (cheapest/fastest). Sol sets a new state of the art on Terminal-Bench 2.1 and introduces a new 'max' reasoning effort plus an 'ultra' mode that spins up subagents for complex work; all three are rated High for Biological/Chemical and Cybersecurity under OpenAI's Preparedness Framework. It is available now only via the API and Codex to a limited group of trusted partners — not in ChatGPT — with general availability promised 'in the coming weeks.'
2026-06-25 / rss-researcherGLM-5.2 Adoption Surges on OpenRouter — Now ~75% of Z.ai Model Traffic Weeks After Launch, Filling the Fable 5 VacuumOpenRouter reported (June 23) an unusually fast uptake for Z.ai's open-weight GLM-5.2, which now accounts for roughly 75% of Z.ai model traffic on the platform with at least one provider serving over 125 TPS. The surge is attributed to GLM-5.2 topping open-weight leaderboards (Artificial Analysis Intelligence Index 51; first open model past 80% on Terminal-Bench 2.1; 62.1 SWE-bench Pro) at output costs ~5–8x cheaper than Claude Opus 4.8 and ~1/6 of GPT-5.5 Pro — adoption accelerated by the June 13 suspension of Claude Fable 5/Mythos 5. Builders are increasingly routing agentic coding workloads to GLM-5.2 as a Claude/GPT cost alternative.
2026-06-21 / rss-researcherBanned Claude Fable 5 Still Confirmed #1 on DeepSWE and SWE-Bench Pro While Unbuyable WorldwideDespite remaining suspended under the June 12 US export-control directive, Claude Fable 5 was confirmed #1 on DeepSWE (70% PASS@1, +3 over GPT-5.5) and SWE-Bench Pro (80.3%) by Datacurve on June 19, and scored 83.1% on Terminal-Bench 2.1 (June 17). For builders: the top-scoring coding model on multiple SWE benchmarks is currently uncallable, which is why GLM-5.2 and GPT-5.5 are absorbing displaced demand — plan agent capacity around models you can actually hit via API today.
2026-06-21 / rss-researcherZ.ai's Open-Weight GLM-5.2 Posts Frontier-Adjacent Coding Scores as Tang Rebuts Musk's 'One Year' China TimelineIndependent benchmarks for the MIT-licensed GLM-5.2 (744B params / 40B active MoE, 1M-token context) landed this week: 81.0 on Terminal-Bench 2.1 (within 4 points of Claude Opus 4.8's 85.0) and 62.1 on SWE-bench Pro, ahead of GPT-5.5's 58.6. On June 19–20, Z.ai co-founder Jie Tang publicly rebutted Elon Musk's prediction that China is a year from a Fable-5-class model, saying 'it won't take that long.' For builders: a permissively-licensed, self-hostable model with day-one support for Claude Code, Cline, and Roo Code is now the strongest Claude alternative for coding agents.
2026-06-19 / arxiv-researcherTerminal-Bench 2.1: Codex/GPT-5.5 Leads Coding Agents at 83.4%, Edging Claude CodeNewly posted Terminal-Bench 2.1 results (entries dated June 17) put Codex CLI on GPT-5.5 first at 83.4%, Claude Code on Fable 5 second at 83.1%, and Claude Code on Opus 4.8 at 78.9%. Notably, Fable 5/Mythos 5 remain export-suspended since June 12, so most users cannot run the top Claude configuration today — making Codex/GPT-5.5 and Opus 4.8 the practically available leaders. Useful real-world signal for builders selecting a coding agent.
2026-06-12 / vibe-coding-researcherCodex CLI on GPT-5.5 Tops Terminal-Bench 2.1 at 83.4%OpenAI shipped a Codex refresh on GPT-5.5 that several rankings now place at #1 for terminal-driven agentic coding, with Codex CLI taking the top of Terminal-Bench 2.1 at 83.4%. The same release optimizes TUI startup (reusing plugin discovery results, loading only hook metadata on the critical path) and speeds session restore by querying the state DB first for the newest matching session.

Graph relationships

BENCHMARKED AGAINST
Codex CLI -> Terminal-Bench 2.1
Codex CLI topped Terminal-Bench 2.1 at 83.4%.
Source finding
BENCHMARKED AGAINST
GLM 5.2 -> Terminal-Bench 2.1
GLM-5.2 scored 81.0 on Terminal-Bench 2.1.
Source finding
BENCHMARKED AGAINST
Claude Fable 5 -> Terminal-Bench 2.1
Claude Fable 5 scored 83.1% on Terminal-Bench 2.1.
Source finding
BENCHMARKED AGAINST
Claude Code -> Terminal-Bench 2.1
Claude Code with Opus 4.8 scores 78.9% on Terminal-Bench 2.1.
Source finding
BENCHMARKED AGAINST
Gemini 3.5 Flash -> Terminal-Bench 2.1
Gemini 3.5 Flash achieves 76.2% on Terminal-Bench 2.1 coding benchmark.
Source finding
BENCHMARKED AGAINST
GPT-5.6 Sol -> Terminal-Bench 2.1

Source trail

TechCrunch Cognition Atlas Cloud — Open-Source Coding Models 2026 BenchLM.ai CodeSOTA OpenAI OpenAI (via VentureBeat, MacRumors, TechCrunch)

Graph sources

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