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Compare Claude Opus 4.8 and GPT-5.6 Sol: Frontier Reasoning and Agent Architecture

Claude Opus 4.8 vs GPT-5.6 Sol: which should I use?

Claude Opus 4.8 and GPT-5.6 Sol represent the premier reasoning flagships of Anthropic and OpenAI. Opus 4.8 offers granular extended thinking controls and 90% cache read discounts; Sol delivers 1M context and 128K max output headroom. Verified 2026-09-07.

Verified 2026-09-07

Which tasks fit Claude Opus 4.8 and GPT-5.6 Sol?

Best-fit task signals from the published model strengths; this is not a substitute for a controlled benchmark.

FactClaude Opus 4.8GPT-5.6 Sol
Best fitComplex, multi-step tasks where Fable 5’s premium isn’t justified.Complex, multi-step professional and coding work where accuracy matters more than cost.
Reasoning modeAvailableAvailable

What does a Coding Agent workload cost with Claude Opus 4.8 and GPT-5.6 Sol?

Modeled for Coding Agent: 20,000 input + 2,000 output tokens per task, 1 turn. This is a workload model, not a provider quote.

FactClaude Opus 4.8GPT-5.6 Sol
Coding Agent / task$0.15 (modeled)$0.12 (modeled) (winner)
Input / output rate$5.00 / $25.00 per M$4.00 / $20.00 per M

How fast are Claude Opus 4.8 and GPT-5.6 Sol?

Only non-estimated benchmark results are shown as measured.

FactClaude Opus 4.8GPT-5.6 Sol
Measured throughput58 tokens/s (winner)44 tokens/s
Time to first token470 ms560 ms

How compatible are Claude Opus 4.8 and GPT-5.6 Sol with APIs?

Provider-level wire-format and SDK facts; model-specific parameter differences may still apply.

FactClaude Opus 4.8GPT-5.6 Sol
OpenAI SDKNot drop-inUsable
Request shapeMessages API — system prompt is a top-level field, not a message role, and max_tokens is required on every call.Canonical /chat/completions and /responses shape — every OpenAI-compatible provider on this site imitates it.
StreamingSSE (Anthropic content-block events)SSE (OpenAI delta)

What are the privacy and retention policies for Claude Opus 4.8 and GPT-5.6 Sol?

Provider policy and residency facts from the verified provider registry. A missing retention policy is not treated as a guarantee.

FactClaude Opus 4.8GPT-5.6 Sol
Provider says API data trains modelsNoNo
Published retention periodUnavailableUnavailable
Data residencyUnavailableUS by default; EU data residency available on enterprise agreements

How much effort does it take to migrate between Claude Opus 4.8 and GPT-5.6 Sol?

Direction is from each displayed model to the other. Effort is derived from provider compatibility and published parameter maps.

FactClaude Opus 4.8GPT-5.6 Sol
Move Claude Opus 4.8 → GPT-5.6 Solconfig; 3 breaking parameter differencesTarget: GPT-5.6 Sol
Move GPT-5.6 Sol → Claude Opus 4.8Source: GPT-5.6 Solcode-change; 8 breaking parameter differences
WhyKeep the `openai` SDK; change `baseURL` and the API key.Messages API — system prompt is a top-level field, not a message role, and max_tokens is required on every call.

Batch 63 · exact-pair decision contributions · verified 2026-09-07

Exact pair boundary: Anthropic / OpenAI; model endpoint, 500K vs 1M context, extended thinking vs native reasoning, and token tariffs must join. Requested models are claude-opus-4-8 and gpt-5.6-sol. Provider, rate, pricing, and task pages remain fact owners.

Reasoning token budgeting and output expansion economics

Frozen Batch 63 scenario board. Formula / deterministic rule: total_out_cost = (visible_tokens + reasoning_tokens) * out_rate / 1M; Opus 4.8 $25/M, Sol $20/M promo Boundary: Owns output and reasoning token spend modeling.

Frozen scenario / field IDPair, identity, host, surface, and evidence fieldsResultState
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m1-r1
standard generation without reasoning (4K tokens)
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=standard generation without reasoning (4K tokens); task; visible tokens; reasoning tokens; Opus 4.8 output cost; Sol output cost; cost delta; efficiency winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — standard generation without reasoning (4K tokens) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m1-r2
deep analytical reasoning (16K reasoning tokens)
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=deep analytical reasoning (16K reasoning tokens); task; visible tokens; reasoning tokens; Opus 4.8 output cost; Sol output cost; cost delta; efficiency winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — deep analytical reasoning (16K reasoning tokens) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m1-r3
exhaustive mathematical proof (32K reasoning tokens)
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=exhaustive mathematical proof (32K reasoning tokens); task; visible tokens; reasoning tokens; Opus 4.8 output cost; Sol output cost; cost delta; efficiency winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — exhaustive mathematical proof (32K reasoning tokens) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m1-r4
repository refactor plan (64K reasoning tokens)
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=repository refactor plan (64K reasoning tokens); task; visible tokens; reasoning tokens; Opus 4.8 output cost; Sol output cost; cost delta; efficiency winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — repository refactor plan (64K reasoning tokens) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m1-r5
maximum output ceiling test
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=maximum output ceiling test; task; visible tokens; reasoning tokens; Opus 4.8 output cost; Sol output cost; cost delta; efficiency winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — maximum output ceiling test is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m1-r6
unbounded thinking runaway buffer
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=unbounded thinking runaway buffer; task; visible tokens; reasoning tokens; Opus 4.8 output cost; Sol output cost; cost delta; efficiency winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — unbounded thinking runaway buffer is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict

First-party provenance: Anthropic API pricing; verification date 2026-09-07. Missing or conflicting joins fail closed.

Prompt caching write/read break-even and retention board

Frozen Batch 63 scenario board. Formula / deterministic rule: caching_roi = cache_reads * (base_in_rate - read_rate) - cache_writes * (write_rate - base_in_rate) Boundary: Owns prompt caching mechanics and ROI comparisons.

Frozen scenario / field IDPair, identity, host, surface, and evidence fieldsResultState
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m2-r1
2-turn conversation (1 write, 1 read)
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=2-turn conversation (1 write, 1 read); session turns; prompt size; Opus 4.8 cache cost; Sol cache cost; net caching savings; caching champion; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 2-turn conversation (1 write, 1 read) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m2-r2
5-turn agent loop (1 write, 4 reads)
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=5-turn agent loop (1 write, 4 reads); session turns; prompt size; Opus 4.8 cache cost; Sol cache cost; net caching savings; caching champion; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 5-turn agent loop (1 write, 4 reads) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m2-r3
20-turn deep interactive thread (1 write, 19 reads)
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=20-turn deep interactive thread (1 write, 19 reads); session turns; prompt size; Opus 4.8 cache cost; Sol cache cost; net caching savings; caching champion; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 20-turn deep interactive thread (1 write, 19 reads) is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m2-r4
cache eviction after 5-minute TTL
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=cache eviction after 5-minute TTL; session turns; prompt size; Opus 4.8 cache cost; Sol cache cost; net caching savings; caching champion; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — cache eviction after 5-minute TTL is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m2-r5
cache read miss cold start
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=cache read miss cold start; session turns; prompt size; Opus 4.8 cache cost; Sol cache cost; net caching savings; caching champion; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — cache read miss cold start is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m2-r6
unsupported cache payload structure
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=unsupported cache payload structure; session turns; prompt size; Opus 4.8 cache cost; Sol cache cost; net caching savings; caching champion; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — unsupported cache payload structure has no matched, dated bilateral observation.FAIL CLOSED — manual, probe, or source evidence required

First-party provenance: Anthropic API pricing; verification date 2026-09-07. Missing or conflicting joins fail closed.

Enterprise software engineering dual-run canary ledger

Frozen Batch 63 scenario board. Formula / deterministic rule: canary_spend = dual_calls * (opus_call_cost + sol_call_cost); agreement_rate determines cutover Boundary: Owns dual-run evaluation framework between Opus 4.8 and Sol.

Frozen scenario / field IDPair, identity, host, surface, and evidence fieldsResultState
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m3-r1
100 unit-test generation runs
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=100 unit-test generation runs; evaluation workload; Opus 4.8 spend; Sol spend; dual-run cost; consensus rate; migration status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 100 unit-test generation runs is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m3-r2
500 multi-file code review tasks
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=500 multi-file code review tasks; evaluation workload; Opus 4.8 spend; Sol spend; dual-run cost; consensus rate; migration status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 500 multi-file code review tasks is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m3-r3
1K complex refactoring pull requests
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=1K complex refactoring pull requests; evaluation workload; Opus 4.8 spend; Sol spend; dual-run cost; consensus rate; migration status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 1K complex refactoring pull requests is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m3-r4
5K automated CI/CD bug triage runs
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=5K automated CI/CD bug triage runs; evaluation workload; Opus 4.8 spend; Sol spend; dual-run cost; consensus rate; migration status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — 5K automated CI/CD bug triage runs is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m3-r5
high agreement (>95%) cutover threshold
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=high agreement (>95%) cutover threshold; evaluation workload; Opus 4.8 spend; Sol spend; dual-run cost; consensus rate; migration status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — high agreement (>95%) cutover threshold is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict
batch63-claude-opus-4-8-vs-gpt-5-6-sol-m3-r6
divergent code output conflict resolution
pair=claude-opus-4-8 vs gpt-5.6-sol; provider=Anthropic / OpenAI; hostA=api.anthropic.com; hostB=api.openai.com; surfaceA=Anthropic Messages API; surfaceB=OpenAI Responses API; requested/effective IDs=claude-opus-4-8,gpt-5.6-sol; scenario=divergent code output conflict resolution; evaluation workload; Opus 4.8 spend; Sol spend; dual-run cost; consensus rate; migration status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicitUnavailable — divergent code output conflict resolution is a frozen fixture pending exact identity, configuration, and denominator joins.UNTESTED — assumption cannot establish a verdict

First-party provenance: OpenAI rate limits; verification date 2026-09-07. Missing or conflicting joins fail closed.

Method and limitations: formulas are deterministic; observed and assumed inputs are labeled; no missing provider, host, account, region, realm, alias, snapshot, revision, weight, artifact, control, tool, modality, workload, rate-period, timestamp, or result is transferred. Run the claude-opus-4-8-vs-gpt-5-6-sol Batch 63 scenario →

How do Claude Opus 4.8 and GPT-5.6 Sol compare on specs?

Claude Opus 4.8GPT-5.6 Sol
Price (input)$5.00/M$4.00/M
Price (output)$25.00/M$20.00/M
Blended price$10.00/M$8.00/M
Context window500,000 tokens1,000,000 tokens
Max output64,000 tokens128,000 tokens
Modalitiestext, visiontext, vision
Reasoning modeYesYes
Released2026-042026-06
Speed58 t/s44 t/s

How much do Claude Opus 4.8 and GPT-5.6 Sol cost at scale?

Tokens / monthClaude Opus 4.8GPT-5.6 SolDelta
1,000,000$10.00$8.00$2.00 (1.3×)
10,000,000$100.00$80.00$20.00 (1.3×)
100,000,000$1000.00$800.00$200.00 (1.3×)

Choose Claude Opus 4.8 if…

  • Elite coding and multi-step reasoning
  • Strong instruction following on ambiguous prompts
  • Extended-thinking mode
  • Complex, multi-step tasks where Fable 5’s premium isn’t justified.

Choose GPT-5.6 Sol if…

  • Strongest OpenAI model for agentic, long-horizon coding
  • Deep reasoning mode for multi-step planning
  • Native vision input and 1M context
  • Complex, multi-step professional and coding work where accuracy matters more than cost.

Run this exact matchup right now

Send the same prompt to Claude Opus 4.8 and GPT-5.6 Sol side by side and see the outputs yourself.

Try Claude Opus 4.8 vs GPT-5.6 Sol Free

What are common questions about Claude Opus 4.8 and GPT-5.6 Sol?

Is Claude Opus 4.8 cheaper than GPT-5.6 Sol?

GPT-5.6 Sol is cheaper, at $8.00 per million blended tokens vs $10.00 for Claude Opus 4.8.

Which has the bigger context window, Claude Opus 4.8 or GPT-5.6 Sol?

GPT-5.6 Sol has the larger context window: 1,000,000 tokens vs 500,000.

Can Claude Opus 4.8 replace GPT-5.6 Sol for coding?

Both are viable for coding. Elite coding and multi-step reasoning (Claude Opus 4.8) vs Strongest OpenAI model for agentic, long-horizon coding (GPT-5.6 Sol) — pick based on which strength matters more for your workload.

Which is faster, Claude Opus 4.8 or GPT-5.6 Sol?

Claude Opus 4.8 is faster: 58 t/s vs 44 t/s, measured on our speed benchmarks.

Neither of these? See Claude Opus 4.8 alternatives or GPT-5.6 Sol alternatives.

What related comparisons help choose between Claude Opus 4.8 and GPT-5.6 Sol?

Claude Opus 4.8 pricingGPT-5.6 Sol pricingvs Claude Opus 4vs DeepSeek V4 Provs Gemini 3.1 Provs Gemini 3.7 FlashPremium model tests

Pricing verified 2026-06-07. Specs verified 2026-08-14.