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AI News Digest - 2026-07-10

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1.

OpenAI paired its public GPT-5.6 rollout with ChatGPT Work, an agent-based product powered by Codex and GPT-5.6 that could independently handle complex projects across apps such as Google Drive, Slack, and Salesforce and was made available on web, mobile, and desktop with access tied to subscription plans.

2.

OpenAI's GPT-5.6 Sol nearly matched Anthropic's Fable 5 on aggregated benchmarks, scoring 59 on the Artificial Analysis Intelligence Index—one point behind Fable 5—while costing about $1.04 per task, roughly one-third the price of Anthropic's top model.

3.

Meta launched the Muse Spark 1.1 API with pricing that undercut competitors, charging $4.25 per million output tokens and intensifying pressure on other providers.

4.

Databricks made the Chinese open-source model GLM 5.2 its default coding engine after benchmarks showed it matched Anthropic's Opus while costing $1.28 per task versus $1.94, and said it planned to roll the model out as a daily coding workhorse.

5.

OpenAI found that roughly 30 percent of tasks in the SWE-Bench Pro coding benchmark were broken and withdrew its earlier endorsement of the benchmark.

References

1.

https://the-decoder.com/openai-pairs-its-gpt-5-6-public-rollout-with-chatgpt-work-a-new-agent-that-handles-entire-workflows/

OpenAI pairs its GPT-5.6 public rollout with ChatGPT Work, a new agent that handles entire workflows

OpenAI is launching ChatGPT Work, an agent-based product powered by Codex and the now publicly available GPT-5.6. The agent can independently handle complex projects across apps like Google Drive, Slack, and Salesforce. ChatGPT Work is available now on web, mobile, and desktop, though access depends on the subscription plan.

the-decoder.com

1.

https://the-decoder.com/gpt-5-6-sol-nearly-matches-fable-5-on-aggregated-benchmarks-at-one-third-the-cost/

GPT-5.6 Sol nearly matches Fable 5 on aggregated benchmarks at one-third the cost

OpenAI's GPT-5.6 Sol scores 59 points on the Artificial Analysis Intelligence Index, just one point behind Claude Fable 5. At $1.04 per task, it costs a third of what Anthropic's top model charges. In agentic coding, Sol beats every competitor, adding even more pricing pressure on Anthropic.

the-decoder.com

1.

https://the-decoder.com/metas-muse-spark-1-1-api-pricing-squeezes-openai-and-anthropic-as-the-ai-price-war-heats-up/

Meta's Muse Spark 1.1 API pricing squeezes OpenAI and Anthropic as the AI price war heats up

Meta is entering the AI API business with Muse Spark 1.1 at prices that undercut even the dirt-cheap Grok 4.5, released just yesterday. At $4.25 per million output tokens, Meta charges a fraction of what Anthropic or OpenAI ask. For pure-play AI labs burning through billions, the pressure just got worse.

the-decoder.com

1.

https://the-decoder.com/databricks-makes-chinese-open-source-model-glm-5-2-its-default-coding-engine-after-it-matched-opus-at-lower-cost/

Databricks makes Chinese open-source model GLM 5.2 its default coding engine after it matched Opus at lower cost

Databricks benchmarked coding agents on its own multi-million-line codebase and found that the Chinese open-source model GLM 5.2 matched Anthropic's Opus 4.8 at $1.28 per task versus $1.94. The company plans to roll it out as a daily coding workhorse. Its broader takeaway: no single provider dominates, and companies should build their own benchmarks instead of relying on public ones.

the-decoder.com

1.

https://the-decoder.com/openai-finds-roughly-30-percent-of-popular-ai-coding-test-is-broken/

OpenAI finds roughly 30 percent of popular AI coding test is broken

OpenAI reviewed SWE-Bench Pro, a widely used test for measuring AI models' programming skills, and found roughly 30 percent of its tasks are broken. The company is pulling its earlier endorsement of the benchmark.

the-decoder.com

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